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Link Reliability based Detection and Predecessor base Route
Establishment for Prevention of Wormhole Attack
Nansi Jain, Yogendra Kumar Jain
Computer Science and Engineering Deptt. Samrat Ashok Technological Institute Vidisha, India
Computer Science and Engineering Deptt. Samrat Ashok Technological Institute Vidisha, India
ABSTRACT
Mobile Ad hoc Network (MANET) is consists of mobile hosts or sensor nodes proficient of functioning in
absence of infrastructure. Such networks should be capable of self forming, self organizing, self managing, self
recovering, and able to operate under dynamic conditions. The multi-hop communication phenomenon is used
to sending information to receiver. To attain this, each mobile node depends on its neighbor or range node to
forward the data packet to the destination. In fact, most of previous studies on MANET have implicitly assumed
that nodes are cooperative such as node cooperation becomes a very important issue in MANET. The attacker in
dynamic network are easily affected the routing performance and data receiving ratio is affected as compared to
normal performance of network as well as dropping of data is enhanced. The packets percentage is degrades is
the confirmation of attacker misbehavior. The characteristics of wormhole attack is to making the tunnel and
reply the positive acknowledgement of destination at time of route request and drop all the data deliver through
tunnel. The attacker is identified by the past and current data receiving and forwarding in MANET. The
proposed IPS (Intrusion Detection and Prevention System) provides the security on the basis of link reliability.
In this work, we proposed new link reliability based security through Predecessor based Route Establishment of
detecting routing misbehavior of wormhole attack for prevention in MANET. The attacker is blocked through
the broadcasting scheme used by proposed prevention scheme from their actual identification to neighbors. The
security provider nodes are blocking the communication of attacker and provide the secure communication
among the mobile nodes. The performance of proposed scheme is evaluated through performance metrics like
PDR and throughput.
Keywords: WSN, Routing, Malicious, wormhole, Link Reliability, IPS.
I. INTRODUCTION
There are two types of wireless networks, i.e.
infrastructure based wireless networks and wireless ad
hoc networks. An Ad hoc mobile network is
deliberated to trounce the natural limitation of wired
backbone networks and infrastructure based wireless
networks. The network is a collection of mobile nodes
that uses a wireless channel and dynamically forming
a temporary network topology without the existence
of network infrastructure or centralized administration
[1]. The wireless and wired networks are not possible
to build rapidly in critical circumstances like heavy
flooding earthquake etc. [1]. The main advantage of
MANET is to easily established at anywhere for
communication to nest node or sensor. Due to the
restriction of transmission range, each mobile node
can only communicate with neighbouring nodes
within its radio coverage area besides, forwarding
packets for other nodes; it also acts as a router for
taking routing decisions and forwarding packets to
destination or other neighbour. Mobile Ad hoc
networks are also called multi-hop wireless networks
because any message or data transmitted from a
source node to a destination node not possible directly
communicate. It may also possible through many
intermediate nodes, which requires multiple
interconnected hops [1, 2]. The system may operate in
isolation or may have gateways connected with a
fixed network. In the latter mode, it is typically
envisioned as a sub network connected to a fixed
network. The mobile devices used in ad hoc networks
could include an evolution of current cell phones,
PDAs, or laptops equipped with wireless interfaces. In
a MANET, each mobile node is equipped with a
wireless transmitter and receiver using antennas.
Nodes can communicate directly with other nodes
within their wireless transmission range. However,
wireless links have significantly lower capacity and
transmission range than their hardwired counterparts
due to effects such as signal fading, noise and limited
battery power. Attacks on MANET are classified as
Active and Passive attacks [3, 4], passive attacks are
not dangerous, if the delivering data is important than
its security, because it does not affects the normal
operation of MANET. While, active attacks affecting
the normal operation of MANET In several ways.
This research work is focusing on initiatives which
make MANET survives against wormhole attack [4].
RESEARCH ARTICLE OPEN ACCESS
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ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11
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Malicious node causes packet dropping, false
routing and etc. Effects of malicious nodes are given
below:
• Malicious node reduces the network connectivity
in MANETs.
• The result is defragmented networks, isolated
nodes, and drastically reduced network
performance.
• Their main intention is in any cost affected the
routing performance of dynamic network
• Launch misbehavior when sender is sending data
replaying, reordering or/and dropping packets
from time to time, and even by sending fake
routing messages.
II. ROUTING PROTOCOLS IN
MANET
In dynamic network i.e. MANET, the
network topology are frequently changes that are the
cause of link breakage and possibility of
retransmission are enhanced. The direct connection in
between sender and receiver is hardly ever possible.
The connections are created as multi-hop till the
destination is not found. The malicious nodes in this
open network is easily affected the actual data
delivery. The routing protocol play a important role at
network layer for data accepting and forwarding
through each router or node but these routing
protocols are not able to protect the network from
attacker. The data is sending by sender and accepted
by receiver and in this procedure routing strategy is
very important part of communication [5, 6]. For
connecting to destination and data delivery, routing
protocol is necessary for routing the data in between
sender to receiver. Every routing protocol has
different routing strategy for connection
establishment, but it has same strategy i. e. select the
shortest path in between sender and receiver. The
shortest path is decided on the basis of minimum hop
count value in MANET. The classifications of routing
protocols in MANET are as follows:-
(A) Proactive Routing Protocol
The proactive routing protocols are also
called as table driven routing protocol and these
routing protocols are maintaining the routing
information of each node that are participating in
routing procedure. In Mobile Ad hoc network the
topology in network is changes by that the overhead to
maintain the information of each and every node is
very difficult and required large amount of memory
for storing routing information in network. In ad hoc
network, if the nodes are moves at slow speed then
that protocol is suppose to be better for
communication. The example of proactive routing
protocol is DSDV routing protocol.
(B) Reactive Routing Protocol
The Reactive routing protocols are also
called as on demand routing protocol and these
routing protocols are maintaining the routing
information on the basis of requirement of request
receives by the neighbour. There is no routing
information is stored of each node that are
participating in routing procedure. In Mobile Ad hoc
network, topology in network is changes by that the
overhead to maintain the information of each and
every node is not needed to maintain. In ad hoc
network, if the nodes are moves at random speed then
that protocol is supposes to be better for
communication. The example of reactive routing
protocol is AODV routing protocol.
(C) Hybrid Routing Protocol
Since proactive and reactive protocols each
work best in oppositely different scenarios, hybrid
method uses both. It is used to find a balance between
both protocols. Proactive operations are restricted to
small domain, whereas, reactive protocols are used for
locating nodes outside those domains.
III. LITERATURE SURVEY
This section covers previous work in the
field of security proposed by different researchers.
The prominent research work in field of dynamic
network by the different researchers is as given below:
Waseem et al proposed detection and
prevention of the network from wormhole attacks, and
also given an enhanced version of AODV hello
packets [7]. They considered some assumption such as
clock time is synchronized and used during neighbor
discovery. Neighbor nodes respond with appending
Hello massage with present received time and reply.
The route information is stored in source, destination
and intermediate nodes. An attacker tunnels a request
packet delivery to the destination node without hop-
count value and stop route discovery.
Hongsong et al proposed security scheme to
enhance security and reliability in sensor network [8].
Trust can be interpreted as belief, reputation,
probability and trustworthiness. Trust routing reflects
the trustworthy degree of routing path. In sensor
network, in addition to the traditional hop count,
routing trustworthiness is related to many factors, such
as node’s residual energy node’s attack behaviour.
They have shown that each factor is assigned one
agent to monitor the varieties, trust routing agent
integrates the factors into trust routing value, the trust
routing will be more objective and trustworthy.
Because the different metrics of different factors, a
unified trust routing metric is necessary.
Suraj Thawani et al proposed security
scheme by that Sybil node can be detect by the default
value of RSS (Receive Signal Strength) and Threshold
value [9]. If the value rise from actual value, then it is
Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com
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Sybil node. These Sybil nodes are checked by the
neighboring nodes and it can be protected by verifying
token through master node. Temporarily Ordered
Routing Protocol (TORA) is a distributed routing
algorithm that is based on a family of link reversal
algorithms. Sybil attack is an injurious attack in
MANETs, attacker makes the multiple identities in the
network as a malicious node with the several address.
In this each nodes in the network has given unique
address then also it make fake identities from the
unique addresses in the network to collect the private
information from the nodes.
Xiong Kail et al proposed the FP-Growth
according concept in the AODV route table
information for reducing black hole attack detection
times [5]. The algorithm mines a rank sequence,
which is not sensitive to the noise interference.
Particularly, when the wireless environment becomes
stochastic, the detection of rank sequence is better
than the detection of distribution. In general, the
behavior of malicious node will affect its neighbors.
So, a detection of rank changed outcome has a large
probability to be a suspicious nodes set.
Kashif Saghar et al focused on one such
attack called hello flood attack [9]. Some WSN
routing protocols require the nodes to announce
themselves to neighbor nodes using a ’Hello’
message. This message enables the receiver nodes in
neighborhood, which can hear this message, to assume
that the sender is within their radio range. This is a
simple way of initializing a sensor network. However,
there is a problem in this simple mechanism as this
leads to hello flood attacks. In this type of DoS attack,
a laptop-class attacker broadcasts the routing/other
information with large enough transmission power to
convince many or all the WSN nodes that the attacker
is a genuine neighbor. The hello flood attack thus
causes unidirectional links between the attacker and
the legitimate nodes.
IV. PROPOSED WORK
Mobile Ad hoc network is a vulnerable
network because varieties of attacks in dynamic
environment and all those attacks capture the data
packets or dropped the data and reduce the network
services. In our proposed work, we detect and prevent
wormhole attack under mobile ad hoc network.
Wormhole attack is an active attack which contains at
least two wormhole nodes and connected each other
via wireless communication where attacker receives
data packets from sender and forward to connected
attacker node that create tunnel between those
wormhole nodes and partially drop the data or capture
the data. Wormhole attack detection and prevention is
not an easy task because network is spread in wide
area and therefore we proposed IPS (Intrusion
Detection and Prevention System) which is link
reliability based detection and predecessor base route
establishment for wormhole prevention in MANET. In
this methodology, initially use the routing protocol
AODV and broadcast the routing packet and
established the route from source to destination and
then sends the data packet to the destination. If
wormhole nodes present during communication, then
the packets are tunnel in between those wormhole
nodes. In our proposed mechanism, defensive node
(IPS node) watches the established link and calculate
packet delivery ratio between each connective link at
every pause time, if packet delivery ratio is lower than
the 50 percent than get the reason why the
performance was decreased, because packet dropped
by number of different reason such as route error,
MAC error, queue drop and attacker drop. When the
drop reason identified as a loop based or tunnelled in
attacker node, then block the tunnel nodes and that
detected link marked a wormhole link. After the
detection of wormhole link, IPS node broadcast the
wormhole node information in the network, so all the
mobile node get alert and shall not use the attacker
link. Those nodes which send data packet through the
attacker link, IPS node break the connection from
predecessor of wormhole nodes and established the
new connection from receiver node using local route
repair mechanism, which minimized the overhead of
security and provide secure communication between
sender and receiver nodes.
Proposed Algorithm:
This section describes approach of our
proposed method to detect and protect wormhole
attack under AODV routing. In the input section of
proposed algorithm, all the required parameter
initialize and output achieve through given routine
based approach. Given algorithm is combined
approach of detection and prevention of wormhole
attack.
Algorithm: Wormhole node Detection and
Prevention
Input: M: Mobile nodes
S: Sender nodes
R: Receiver Nodes
W1, W2: Wormhole nodes
IPS: set of preventer node
Antenna: Omni Antenna
pdr: packet delivery ratio
rr: radio range
AODV: routing packets
I: set of intermediate nodes
T*: pointer to predecessor
L: set of link between i1, i2 node
Output:wormhole percentage, throughput, PDR,
overhead and UDP analysis
Routine:
Broadcast-route (AODV, S, R, rr)
While (I == in rr) do
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I receives routing packets
I update rtable
For each I in range , P watch the I node and its link
While S ≠ R do
Calculate Trust of I: (forward/receives)*100
If (Trust < 50) Then
Identifies W1, W2 nodes
Identifies reason of drop
If (reason == wormhole) Then
Block link
T* point predecessor node
T broadcast route packet & eliminate W1, W2
Established new path S to R
End if
End if
End do
If (R== S ) then
Send Ack to T node
Call data-pkt()
Else
R not in zone
End if
End do
Data-pkt(S,R,pkt)
Count =1
If path is available then
All node in link i1, i2 watch by P
End if
While pkt incoming i1 to i2do
If i2 receives && pkt-forward ≠ true then
Decrease-trust = i2-old-trust – (forward/receives)
i2 new-trust-level
if (i2 pdr < 50)
call local repair(S,R,AODV-local-R)
Else
Increase-trust = i2-old-trust + (forward/receives)
i2 new-trust-level
End if
all P calculate separately trust level of i1 and i2 link
P send trust report to M-2 node // eliminate w1, w2
S re established new path to R
End do
The proposed scheme is not only detecting
the attack in dynamic network, but also applied
prevention scheme on it. The proposed scheme
identified the tunnel link in between sender and
receiver and blocks that link for secure
communication in MANET.
V. SIMULATION OVERVIEW
The simulation is done in NS-2 simulator
[16]. The NS-2 is the freeware toll available in
internet. Due to open source simulator the
modification in experimental environment is easily
possible. The scripting is written in TCL (Tool
Command Language) language and the internal
modules are built in C++ language, that's why also
called OTCL (Object Oriented TCL). This simulator
version is used NS 2.31. This is a freeware tool for
simulating the scenarios of wired, wireless, sensor and
Ad hoc network. The performance of three routing
schemes i. e. Proactive Routing Protocol, Reactive
Routing Protocol, and Hybrid Routing Protocol is
compared through defined performance metrics with
considered simulation parameters in this work.
Performance Parameter
In our simulation we apply network simulator-2 and
analyse the behaviour of the network through
following metrices:
 Packet Delivery Ratio: The ratio between the
number of packets originated by the application
layer CBR sources and the number of packets
received by the CBR sink at the final destination.
 Attacker Infection: The attacker infection is
measured in network by calculating the dropping
percentage of packets through attacker only.
 Packet Dropped: The routers might fail to
deliver or drop some packets or data, if they
arrive when their buffer are already full. Some,
none or all the packets or data might be dropped,
depending on the state of the network, and it is
impossible to determine what will happen in
advance.
 Routing Load: The total number of routing
packets transmitted during the simulation. For
packets sent over multiple hops, each
transmission of the packet or each hop counts.
 UDP End Packets receiving and Loss: The
number of packets transfer from network layer to
transport layer. The packets receiving as ratio of
sending is provides the receiving and loss of
packets.
Simulation Parameter
The simulation is performing in area of
1200*1200 meter area in 802.11 wireless IEEE
standards. The propagation model is use Two ray
ground propagation model. The reactive routing
protocol AODV is used for routing. Some other
simulator parameters are also considered such as
Number of nodes, Routing protocol and traffic. The
simulation environment is defined in table 1 (shown
below).
Table 1: Simulation Parameter
Number of nodes 150
Dimension of simulated area 1200×1200
Routing Protocol AODV
Work on Attacker Wormhole
Simulation time (seconds) 100
Transport Layer TCP ,UDP
Traffic type CBR , FTP
Packet size (bytes) 1000
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Number of traffic
connections
20
Nodes Motion Random
Nodes Maximum speed 30m/s
VI. SIMULATION RESULTS
In this section the simulation performance of
normal AODV, trusted AOD (T-AODV), routes in
presence of wormhole attacker and proposed IPS
security scheme.
A. Overhead Analysis
Fig.A: Routing Flooding Analysis
The routing overhead performance of normal
AODV, Trusted AODV, Wormhole attack, and
proposed link reliability based IPS scheme for
securing MANET. The routing overhead performance
of T-AODV is maximum. The performance of routing
overhead is minimum in case of wormhole attacker
but data packets receiving is minimum. That is the
indication of performance degradation and malicious
behavior. But in the case of proposed IPS routing
overhead is in between T-AODV and wormhole
attack.
B. PDR Analysis
In this graph, PDR performance of all four
proposed protocol including proposed is presented and
observed that the proposed IPS performance provides
PDF performance 76% which is slightly better
performance than the other methods.
Fig.B: PDF Performance Analysis
C. Throughput Analysis
The throughput performance of all four
protocols is shown in this graph. The packets
receiving per unit of time is measured through
throughput and the throughput of T-AODV is better
but with more overhead. But, graph clearly shown that
overall performance of proposed scheme in terms of
throughput is improved.
Fig.C: Throughput Performance Analysis
D. UDP End Transmission Analysis
The packets transmission at connection less
transport layer protocol is in T-AODV is more. The
next better performance is of proposed IPS. The rest
of the methods shown poor performance. The attacker
is not affected the sending of packets, although it
affect the packets receiving.
Fig.D: UDP Transmission Analysis
E. UDP End Transmission Analysis
The packets receiving performance of all
protocols is evaluated in this graph and observed that
the proposed IPS provides the highest receiving that
clearly indicates better security scheme in MANET.
The UDP performance is easily affected because of
connection less mechanism. The only attacker
performance is about negligible in term of packets
receiving. The better and more packets receiving
gives the better performance of network and our
proposed IPS scheme provides better performance.
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ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11
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Fig.E: UDP Receiving Analysis
F. Wormhole Loss Analysis
The proposed scheme provides the secure
communication in presence of IPS. In this graph
packets drop percentage in presence of attacker is
evaluated and observed at the end of simulation, the
packets drop percentage in presence of attacker with
the proposed scheme is 20%. The attacker infection
in presence of IPS is zero that is the positive and
strong effect of security scheme.
Fig.F: Attacker Loss Analysis
VII. CONCLUSION AND FUTURE
WORK
The routing protocol are not able to handle
the attacker misbehaviour because attacker is behaves
like as normal node when the sender node is in call
connection establishment procedure with receiver.
The receiver is not known the attacker is generating
the fake information of actual route to sender. Our
proposed IPS (Intrusion Detection and Prevention
System) is not only detecting the attacker but also
prevent from attack. The sender is not known the
reply is generated by wormhole attacker and it trusts
the intermediate nodes and starts the data
transmission.The proposed link reliability based
security method against wormhole attack is not only
detect the wormhole attacker but also prevent the
network from it according to predecessor information
of routing through nodes in dynamic network. The
proposed scheme improves the routing performance
and provides the secure communication. The attacker
degrades the routing performance, because the PDR
performance is less than 50. If the PDR is greater than
50, then the communication is secure. The information
of attacker is broadcast to all the nodes that are
participating in routing procedure and these nodes
ignore the request of attacker. If node is identified
again in the network as attacker, the existence of that
existence of node is blocked in the network. The
attacker infection is very harmful for MANET. By this
the routing overhead, throughput and PDF are
provides the negligible output but after applying
proposed secure scheme the routing packets flooding
is minimized with enhancement of performance of
PDR and packets receiving. The performance of
proposed security scheme is on upper side as
compared to conventional routing methods.
In future, security scheme against vampire
attack and Sybil attack can be investigated. The
attacker identification may not be based on packet loss
only but also based on resource consumption and
multiple fake identities.
REFERENCES
[1] Tyagi, "Study of MANET: Characteristics,
Challenges, Application and Security
Attsacks," International Journal of Advanced
Research in Computer Science and Software
Engineering, vol. 3, 2013.
[2] R. W. Anwar, M. Bakhtiari, A. Zainal, A. H.
Abdullah, and K. N. Qureshi, "Security
Issues and Attacks in Wireless Sensor
Network," World Applied Sciences Journal,
Vol. 30, pp. 1224-1227, 2014.
[3] Y.A. Huang, W Lee,"Attack Analysis and
Detection for Ad hoc Routing Protocols',
Seventh International Symposium on Recent
Advances in Intrusion Detection (RAID'04),
French Rivera, September 2004.
[4] B. Wu, J. M. Chen, J. Wu and M. Cardei, “A
Survey on Attacks and Countermeasures in
Mobile Ad Hoc Networks,” Wireless/Mobile
Network Security, Springer, Berlin, pp. 103-
135, 2007.
[5] S. Giannoulis, C. Antonopoulos, E. Topalis,
and S. Koubias, "ZRP versus DSR and
TORA: A comprehensive survey on ZRP
performance," presented at the 1 0th IEEE
Conference on Emerging Technologies and
Factory Automation (ETFA ' 05), pp. 1-8,
2005.
[6] Sree Ranga Raju, Kiran Runkana,
Jitendranath Mungara, "ZRP versus AODV
and DSR: A comprehensive study on ZRP
performance”, International Journal of
Computer Applications (0975 – 8887)
Volume 1– No12, 2010.
Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com
ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11
www.ijera.com 11|P a g e
[7] Raja Waseem Anwar, Majid Bakhtiari,
Anazida Zainal,Abdul Hanan Abdullah and
Kashif Naseer Qureshi, "Enhanced Trust
Aware Routing against Wormhole Attacks in
Wireless Sensor Networks", IEEE
International Conference on Smart Sensors
and Application (ICSSA), 2015.
[8] Chen Hongsong, Han Zhi, Fu Zhongchuan,
"Quantitative Trustworthy Evaluation
Scheme for Trust Routing Scheme in
Wireless Sensor Networks", IEEE
Trustcom/BigDataSE/ISPA, 2015.
[9] Suraj Thawani, Hardik Upadhyay, "Securing
TORA against Sybil Attack in
MANETs",2015 1st International conference
on futuristic trend in computational analysis
and knowledge management (ABLAZE
2015), 475-478, 2015.
[10] Kashif Saghar, David Kendall, Ahmed
Bouridane, "RAEED: A solution for Hello
Flood Attack", Proceedings of IEEE 12th
International Bhurban Conference on
Applied Sciences & Technology (IBCAST)
Islamabad, Pakistan, 248-243, 13th – 17th
January, 2015.
[11] Xiong Kail, Yin Mingyong, Li Wenkang,
Jiang Hong, "A Rank Sequence Method for
Detecting Blackhole Attack in Ad hoc
Network", IEEE International Conference on
Intelligent Computing and Internet of Things
(IC1T), pp. 155-159, 2015.
[12] http://www.isi.edu/nsnam/ns

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Link Reliability based Detection and Predecessor base Route Establishment for Prevention of Wormhole Attack

  • 1. Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11 www.ijera.com 5|P a g e Link Reliability based Detection and Predecessor base Route Establishment for Prevention of Wormhole Attack Nansi Jain, Yogendra Kumar Jain Computer Science and Engineering Deptt. Samrat Ashok Technological Institute Vidisha, India Computer Science and Engineering Deptt. Samrat Ashok Technological Institute Vidisha, India ABSTRACT Mobile Ad hoc Network (MANET) is consists of mobile hosts or sensor nodes proficient of functioning in absence of infrastructure. Such networks should be capable of self forming, self organizing, self managing, self recovering, and able to operate under dynamic conditions. The multi-hop communication phenomenon is used to sending information to receiver. To attain this, each mobile node depends on its neighbor or range node to forward the data packet to the destination. In fact, most of previous studies on MANET have implicitly assumed that nodes are cooperative such as node cooperation becomes a very important issue in MANET. The attacker in dynamic network are easily affected the routing performance and data receiving ratio is affected as compared to normal performance of network as well as dropping of data is enhanced. The packets percentage is degrades is the confirmation of attacker misbehavior. The characteristics of wormhole attack is to making the tunnel and reply the positive acknowledgement of destination at time of route request and drop all the data deliver through tunnel. The attacker is identified by the past and current data receiving and forwarding in MANET. The proposed IPS (Intrusion Detection and Prevention System) provides the security on the basis of link reliability. In this work, we proposed new link reliability based security through Predecessor based Route Establishment of detecting routing misbehavior of wormhole attack for prevention in MANET. The attacker is blocked through the broadcasting scheme used by proposed prevention scheme from their actual identification to neighbors. The security provider nodes are blocking the communication of attacker and provide the secure communication among the mobile nodes. The performance of proposed scheme is evaluated through performance metrics like PDR and throughput. Keywords: WSN, Routing, Malicious, wormhole, Link Reliability, IPS. I. INTRODUCTION There are two types of wireless networks, i.e. infrastructure based wireless networks and wireless ad hoc networks. An Ad hoc mobile network is deliberated to trounce the natural limitation of wired backbone networks and infrastructure based wireless networks. The network is a collection of mobile nodes that uses a wireless channel and dynamically forming a temporary network topology without the existence of network infrastructure or centralized administration [1]. The wireless and wired networks are not possible to build rapidly in critical circumstances like heavy flooding earthquake etc. [1]. The main advantage of MANET is to easily established at anywhere for communication to nest node or sensor. Due to the restriction of transmission range, each mobile node can only communicate with neighbouring nodes within its radio coverage area besides, forwarding packets for other nodes; it also acts as a router for taking routing decisions and forwarding packets to destination or other neighbour. Mobile Ad hoc networks are also called multi-hop wireless networks because any message or data transmitted from a source node to a destination node not possible directly communicate. It may also possible through many intermediate nodes, which requires multiple interconnected hops [1, 2]. The system may operate in isolation or may have gateways connected with a fixed network. In the latter mode, it is typically envisioned as a sub network connected to a fixed network. The mobile devices used in ad hoc networks could include an evolution of current cell phones, PDAs, or laptops equipped with wireless interfaces. In a MANET, each mobile node is equipped with a wireless transmitter and receiver using antennas. Nodes can communicate directly with other nodes within their wireless transmission range. However, wireless links have significantly lower capacity and transmission range than their hardwired counterparts due to effects such as signal fading, noise and limited battery power. Attacks on MANET are classified as Active and Passive attacks [3, 4], passive attacks are not dangerous, if the delivering data is important than its security, because it does not affects the normal operation of MANET. While, active attacks affecting the normal operation of MANET In several ways. This research work is focusing on initiatives which make MANET survives against wormhole attack [4]. RESEARCH ARTICLE OPEN ACCESS
  • 2. Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11 www.ijera.com 6|P a g e Malicious node causes packet dropping, false routing and etc. Effects of malicious nodes are given below: • Malicious node reduces the network connectivity in MANETs. • The result is defragmented networks, isolated nodes, and drastically reduced network performance. • Their main intention is in any cost affected the routing performance of dynamic network • Launch misbehavior when sender is sending data replaying, reordering or/and dropping packets from time to time, and even by sending fake routing messages. II. ROUTING PROTOCOLS IN MANET In dynamic network i.e. MANET, the network topology are frequently changes that are the cause of link breakage and possibility of retransmission are enhanced. The direct connection in between sender and receiver is hardly ever possible. The connections are created as multi-hop till the destination is not found. The malicious nodes in this open network is easily affected the actual data delivery. The routing protocol play a important role at network layer for data accepting and forwarding through each router or node but these routing protocols are not able to protect the network from attacker. The data is sending by sender and accepted by receiver and in this procedure routing strategy is very important part of communication [5, 6]. For connecting to destination and data delivery, routing protocol is necessary for routing the data in between sender to receiver. Every routing protocol has different routing strategy for connection establishment, but it has same strategy i. e. select the shortest path in between sender and receiver. The shortest path is decided on the basis of minimum hop count value in MANET. The classifications of routing protocols in MANET are as follows:- (A) Proactive Routing Protocol The proactive routing protocols are also called as table driven routing protocol and these routing protocols are maintaining the routing information of each node that are participating in routing procedure. In Mobile Ad hoc network the topology in network is changes by that the overhead to maintain the information of each and every node is very difficult and required large amount of memory for storing routing information in network. In ad hoc network, if the nodes are moves at slow speed then that protocol is suppose to be better for communication. The example of proactive routing protocol is DSDV routing protocol. (B) Reactive Routing Protocol The Reactive routing protocols are also called as on demand routing protocol and these routing protocols are maintaining the routing information on the basis of requirement of request receives by the neighbour. There is no routing information is stored of each node that are participating in routing procedure. In Mobile Ad hoc network, topology in network is changes by that the overhead to maintain the information of each and every node is not needed to maintain. In ad hoc network, if the nodes are moves at random speed then that protocol is supposes to be better for communication. The example of reactive routing protocol is AODV routing protocol. (C) Hybrid Routing Protocol Since proactive and reactive protocols each work best in oppositely different scenarios, hybrid method uses both. It is used to find a balance between both protocols. Proactive operations are restricted to small domain, whereas, reactive protocols are used for locating nodes outside those domains. III. LITERATURE SURVEY This section covers previous work in the field of security proposed by different researchers. The prominent research work in field of dynamic network by the different researchers is as given below: Waseem et al proposed detection and prevention of the network from wormhole attacks, and also given an enhanced version of AODV hello packets [7]. They considered some assumption such as clock time is synchronized and used during neighbor discovery. Neighbor nodes respond with appending Hello massage with present received time and reply. The route information is stored in source, destination and intermediate nodes. An attacker tunnels a request packet delivery to the destination node without hop- count value and stop route discovery. Hongsong et al proposed security scheme to enhance security and reliability in sensor network [8]. Trust can be interpreted as belief, reputation, probability and trustworthiness. Trust routing reflects the trustworthy degree of routing path. In sensor network, in addition to the traditional hop count, routing trustworthiness is related to many factors, such as node’s residual energy node’s attack behaviour. They have shown that each factor is assigned one agent to monitor the varieties, trust routing agent integrates the factors into trust routing value, the trust routing will be more objective and trustworthy. Because the different metrics of different factors, a unified trust routing metric is necessary. Suraj Thawani et al proposed security scheme by that Sybil node can be detect by the default value of RSS (Receive Signal Strength) and Threshold value [9]. If the value rise from actual value, then it is
  • 3. Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11 www.ijera.com 7|P a g e Sybil node. These Sybil nodes are checked by the neighboring nodes and it can be protected by verifying token through master node. Temporarily Ordered Routing Protocol (TORA) is a distributed routing algorithm that is based on a family of link reversal algorithms. Sybil attack is an injurious attack in MANETs, attacker makes the multiple identities in the network as a malicious node with the several address. In this each nodes in the network has given unique address then also it make fake identities from the unique addresses in the network to collect the private information from the nodes. Xiong Kail et al proposed the FP-Growth according concept in the AODV route table information for reducing black hole attack detection times [5]. The algorithm mines a rank sequence, which is not sensitive to the noise interference. Particularly, when the wireless environment becomes stochastic, the detection of rank sequence is better than the detection of distribution. In general, the behavior of malicious node will affect its neighbors. So, a detection of rank changed outcome has a large probability to be a suspicious nodes set. Kashif Saghar et al focused on one such attack called hello flood attack [9]. Some WSN routing protocols require the nodes to announce themselves to neighbor nodes using a ’Hello’ message. This message enables the receiver nodes in neighborhood, which can hear this message, to assume that the sender is within their radio range. This is a simple way of initializing a sensor network. However, there is a problem in this simple mechanism as this leads to hello flood attacks. In this type of DoS attack, a laptop-class attacker broadcasts the routing/other information with large enough transmission power to convince many or all the WSN nodes that the attacker is a genuine neighbor. The hello flood attack thus causes unidirectional links between the attacker and the legitimate nodes. IV. PROPOSED WORK Mobile Ad hoc network is a vulnerable network because varieties of attacks in dynamic environment and all those attacks capture the data packets or dropped the data and reduce the network services. In our proposed work, we detect and prevent wormhole attack under mobile ad hoc network. Wormhole attack is an active attack which contains at least two wormhole nodes and connected each other via wireless communication where attacker receives data packets from sender and forward to connected attacker node that create tunnel between those wormhole nodes and partially drop the data or capture the data. Wormhole attack detection and prevention is not an easy task because network is spread in wide area and therefore we proposed IPS (Intrusion Detection and Prevention System) which is link reliability based detection and predecessor base route establishment for wormhole prevention in MANET. In this methodology, initially use the routing protocol AODV and broadcast the routing packet and established the route from source to destination and then sends the data packet to the destination. If wormhole nodes present during communication, then the packets are tunnel in between those wormhole nodes. In our proposed mechanism, defensive node (IPS node) watches the established link and calculate packet delivery ratio between each connective link at every pause time, if packet delivery ratio is lower than the 50 percent than get the reason why the performance was decreased, because packet dropped by number of different reason such as route error, MAC error, queue drop and attacker drop. When the drop reason identified as a loop based or tunnelled in attacker node, then block the tunnel nodes and that detected link marked a wormhole link. After the detection of wormhole link, IPS node broadcast the wormhole node information in the network, so all the mobile node get alert and shall not use the attacker link. Those nodes which send data packet through the attacker link, IPS node break the connection from predecessor of wormhole nodes and established the new connection from receiver node using local route repair mechanism, which minimized the overhead of security and provide secure communication between sender and receiver nodes. Proposed Algorithm: This section describes approach of our proposed method to detect and protect wormhole attack under AODV routing. In the input section of proposed algorithm, all the required parameter initialize and output achieve through given routine based approach. Given algorithm is combined approach of detection and prevention of wormhole attack. Algorithm: Wormhole node Detection and Prevention Input: M: Mobile nodes S: Sender nodes R: Receiver Nodes W1, W2: Wormhole nodes IPS: set of preventer node Antenna: Omni Antenna pdr: packet delivery ratio rr: radio range AODV: routing packets I: set of intermediate nodes T*: pointer to predecessor L: set of link between i1, i2 node Output:wormhole percentage, throughput, PDR, overhead and UDP analysis Routine: Broadcast-route (AODV, S, R, rr) While (I == in rr) do
  • 4. Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11 www.ijera.com 8|P a g e I receives routing packets I update rtable For each I in range , P watch the I node and its link While S ≠ R do Calculate Trust of I: (forward/receives)*100 If (Trust < 50) Then Identifies W1, W2 nodes Identifies reason of drop If (reason == wormhole) Then Block link T* point predecessor node T broadcast route packet & eliminate W1, W2 Established new path S to R End if End if End do If (R== S ) then Send Ack to T node Call data-pkt() Else R not in zone End if End do Data-pkt(S,R,pkt) Count =1 If path is available then All node in link i1, i2 watch by P End if While pkt incoming i1 to i2do If i2 receives && pkt-forward ≠ true then Decrease-trust = i2-old-trust – (forward/receives) i2 new-trust-level if (i2 pdr < 50) call local repair(S,R,AODV-local-R) Else Increase-trust = i2-old-trust + (forward/receives) i2 new-trust-level End if all P calculate separately trust level of i1 and i2 link P send trust report to M-2 node // eliminate w1, w2 S re established new path to R End do The proposed scheme is not only detecting the attack in dynamic network, but also applied prevention scheme on it. The proposed scheme identified the tunnel link in between sender and receiver and blocks that link for secure communication in MANET. V. SIMULATION OVERVIEW The simulation is done in NS-2 simulator [16]. The NS-2 is the freeware toll available in internet. Due to open source simulator the modification in experimental environment is easily possible. The scripting is written in TCL (Tool Command Language) language and the internal modules are built in C++ language, that's why also called OTCL (Object Oriented TCL). This simulator version is used NS 2.31. This is a freeware tool for simulating the scenarios of wired, wireless, sensor and Ad hoc network. The performance of three routing schemes i. e. Proactive Routing Protocol, Reactive Routing Protocol, and Hybrid Routing Protocol is compared through defined performance metrics with considered simulation parameters in this work. Performance Parameter In our simulation we apply network simulator-2 and analyse the behaviour of the network through following metrices:  Packet Delivery Ratio: The ratio between the number of packets originated by the application layer CBR sources and the number of packets received by the CBR sink at the final destination.  Attacker Infection: The attacker infection is measured in network by calculating the dropping percentage of packets through attacker only.  Packet Dropped: The routers might fail to deliver or drop some packets or data, if they arrive when their buffer are already full. Some, none or all the packets or data might be dropped, depending on the state of the network, and it is impossible to determine what will happen in advance.  Routing Load: The total number of routing packets transmitted during the simulation. For packets sent over multiple hops, each transmission of the packet or each hop counts.  UDP End Packets receiving and Loss: The number of packets transfer from network layer to transport layer. The packets receiving as ratio of sending is provides the receiving and loss of packets. Simulation Parameter The simulation is performing in area of 1200*1200 meter area in 802.11 wireless IEEE standards. The propagation model is use Two ray ground propagation model. The reactive routing protocol AODV is used for routing. Some other simulator parameters are also considered such as Number of nodes, Routing protocol and traffic. The simulation environment is defined in table 1 (shown below). Table 1: Simulation Parameter Number of nodes 150 Dimension of simulated area 1200×1200 Routing Protocol AODV Work on Attacker Wormhole Simulation time (seconds) 100 Transport Layer TCP ,UDP Traffic type CBR , FTP Packet size (bytes) 1000
  • 5. Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11 www.ijera.com 9|P a g e Number of traffic connections 20 Nodes Motion Random Nodes Maximum speed 30m/s VI. SIMULATION RESULTS In this section the simulation performance of normal AODV, trusted AOD (T-AODV), routes in presence of wormhole attacker and proposed IPS security scheme. A. Overhead Analysis Fig.A: Routing Flooding Analysis The routing overhead performance of normal AODV, Trusted AODV, Wormhole attack, and proposed link reliability based IPS scheme for securing MANET. The routing overhead performance of T-AODV is maximum. The performance of routing overhead is minimum in case of wormhole attacker but data packets receiving is minimum. That is the indication of performance degradation and malicious behavior. But in the case of proposed IPS routing overhead is in between T-AODV and wormhole attack. B. PDR Analysis In this graph, PDR performance of all four proposed protocol including proposed is presented and observed that the proposed IPS performance provides PDF performance 76% which is slightly better performance than the other methods. Fig.B: PDF Performance Analysis C. Throughput Analysis The throughput performance of all four protocols is shown in this graph. The packets receiving per unit of time is measured through throughput and the throughput of T-AODV is better but with more overhead. But, graph clearly shown that overall performance of proposed scheme in terms of throughput is improved. Fig.C: Throughput Performance Analysis D. UDP End Transmission Analysis The packets transmission at connection less transport layer protocol is in T-AODV is more. The next better performance is of proposed IPS. The rest of the methods shown poor performance. The attacker is not affected the sending of packets, although it affect the packets receiving. Fig.D: UDP Transmission Analysis E. UDP End Transmission Analysis The packets receiving performance of all protocols is evaluated in this graph and observed that the proposed IPS provides the highest receiving that clearly indicates better security scheme in MANET. The UDP performance is easily affected because of connection less mechanism. The only attacker performance is about negligible in term of packets receiving. The better and more packets receiving gives the better performance of network and our proposed IPS scheme provides better performance.
  • 6. Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11 www.ijera.com 10|P a g e Fig.E: UDP Receiving Analysis F. Wormhole Loss Analysis The proposed scheme provides the secure communication in presence of IPS. In this graph packets drop percentage in presence of attacker is evaluated and observed at the end of simulation, the packets drop percentage in presence of attacker with the proposed scheme is 20%. The attacker infection in presence of IPS is zero that is the positive and strong effect of security scheme. Fig.F: Attacker Loss Analysis VII. CONCLUSION AND FUTURE WORK The routing protocol are not able to handle the attacker misbehaviour because attacker is behaves like as normal node when the sender node is in call connection establishment procedure with receiver. The receiver is not known the attacker is generating the fake information of actual route to sender. Our proposed IPS (Intrusion Detection and Prevention System) is not only detecting the attacker but also prevent from attack. The sender is not known the reply is generated by wormhole attacker and it trusts the intermediate nodes and starts the data transmission.The proposed link reliability based security method against wormhole attack is not only detect the wormhole attacker but also prevent the network from it according to predecessor information of routing through nodes in dynamic network. The proposed scheme improves the routing performance and provides the secure communication. The attacker degrades the routing performance, because the PDR performance is less than 50. If the PDR is greater than 50, then the communication is secure. The information of attacker is broadcast to all the nodes that are participating in routing procedure and these nodes ignore the request of attacker. If node is identified again in the network as attacker, the existence of that existence of node is blocked in the network. The attacker infection is very harmful for MANET. By this the routing overhead, throughput and PDF are provides the negligible output but after applying proposed secure scheme the routing packets flooding is minimized with enhancement of performance of PDR and packets receiving. The performance of proposed security scheme is on upper side as compared to conventional routing methods. In future, security scheme against vampire attack and Sybil attack can be investigated. The attacker identification may not be based on packet loss only but also based on resource consumption and multiple fake identities. REFERENCES [1] Tyagi, "Study of MANET: Characteristics, Challenges, Application and Security Attsacks," International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, 2013. [2] R. W. Anwar, M. Bakhtiari, A. Zainal, A. H. Abdullah, and K. N. Qureshi, "Security Issues and Attacks in Wireless Sensor Network," World Applied Sciences Journal, Vol. 30, pp. 1224-1227, 2014. [3] Y.A. Huang, W Lee,"Attack Analysis and Detection for Ad hoc Routing Protocols', Seventh International Symposium on Recent Advances in Intrusion Detection (RAID'04), French Rivera, September 2004. [4] B. Wu, J. M. Chen, J. Wu and M. Cardei, “A Survey on Attacks and Countermeasures in Mobile Ad Hoc Networks,” Wireless/Mobile Network Security, Springer, Berlin, pp. 103- 135, 2007. [5] S. Giannoulis, C. Antonopoulos, E. Topalis, and S. Koubias, "ZRP versus DSR and TORA: A comprehensive survey on ZRP performance," presented at the 1 0th IEEE Conference on Emerging Technologies and Factory Automation (ETFA ' 05), pp. 1-8, 2005. [6] Sree Ranga Raju, Kiran Runkana, Jitendranath Mungara, "ZRP versus AODV and DSR: A comprehensive study on ZRP performance”, International Journal of Computer Applications (0975 – 8887) Volume 1– No12, 2010.
  • 7. Nansi Jain Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 8, ( Part -1) August 2016, pp.05-11 www.ijera.com 11|P a g e [7] Raja Waseem Anwar, Majid Bakhtiari, Anazida Zainal,Abdul Hanan Abdullah and Kashif Naseer Qureshi, "Enhanced Trust Aware Routing against Wormhole Attacks in Wireless Sensor Networks", IEEE International Conference on Smart Sensors and Application (ICSSA), 2015. [8] Chen Hongsong, Han Zhi, Fu Zhongchuan, "Quantitative Trustworthy Evaluation Scheme for Trust Routing Scheme in Wireless Sensor Networks", IEEE Trustcom/BigDataSE/ISPA, 2015. [9] Suraj Thawani, Hardik Upadhyay, "Securing TORA against Sybil Attack in MANETs",2015 1st International conference on futuristic trend in computational analysis and knowledge management (ABLAZE 2015), 475-478, 2015. [10] Kashif Saghar, David Kendall, Ahmed Bouridane, "RAEED: A solution for Hello Flood Attack", Proceedings of IEEE 12th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 248-243, 13th – 17th January, 2015. [11] Xiong Kail, Yin Mingyong, Li Wenkang, Jiang Hong, "A Rank Sequence Method for Detecting Blackhole Attack in Ad hoc Network", IEEE International Conference on Intelligent Computing and Internet of Things (IC1T), pp. 155-159, 2015. [12] http://www.isi.edu/nsnam/ns
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