Random walk based approach to detect clone attacks in wireless sensor networks

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This document proposes two new non-deterministic and fully distributed (NDFD) protocols called RAndom WaLk (RAWL) and Table-assisted RAndom WaLk (TRAWL) to detect clone attacks in wireless sensor networks. Previous solutions have drawbacks such as requiring central control or being vulnerable to compromising critical witness nodes. The proposed protocols select witnesses through random walks to distribute this process and prevent adversaries from easily identifying critical nodes. They fulfill security requirements with moderate overhead compared to existing NDFD approaches. Simulation results show the protocols outperform others in witness selection and that TRAWL has the lowest memory overhead. While communication overhead is higher, it is acceptable given security improvements over alternatives.

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Random-Walk Based Approach to Detect Clone Attacks in Wireless Sensor
Networks
Abstract
Wireless sensor networks (WSNs) deployed in hostile environments are vulnerable to
clone attacks. In such attack, an adversary compromises a few nodes, replicates them,
and inserts arbitrary number of replicas into the network. Consequently, the adversary
can carry out many internal attacks. Previous solutions on detecting clone attacks have
several drawbacks. First, some of them require a central control, which introduces several
inherent limits. Second, some of them are deterministic and vulnerable to simple witness
compromising attacks. Third, in some solutions the adversary can easily learn the critical
witness nodes to start smart attacks and protect replicas from being detected. In this
paper, we first show that in order to avoid existing drawbacks, replica-detection protocols
must be non-deterministic and fully distributed (NDFD), and fulfill three security
requirements on witness selection. To our knowledge, only one existing protocol,
Randomized Multicast, is NDFD and fulfills the requirements, but it has very high
communication overhead. Then, based on random walk, we propose two new NDFD
protocols, RAndom WaLk (RAWL) and Table-assisted RAndom WaLk (TRAWL), which
fulfill the requirements while having only moderate communication and memory
overheads. The random walk strategy outperforms previous strategies because it
distributes a core step, the witness selection, to every passed node of random walks, and
then the adversary cannot easily find out the critical witness nodes. We theoretically
analyze the required number of walk steps for ensuring detection. Our simulation results
show that our protocols outperform an existing NDFD protocol with the lowest overheads

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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.

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International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.

disruption of black hole attacks in manetINFOGAIN PUBLICATION

An Ad hoc network in a wireless system consist of an autonomous system, without centralization which results forming of mobile nodes. In MANET, each node works in a dual form that consists of a router as well as hosts. These nodes configure dynamically and communicate using hop to hop. Due to its simplicity it is used in mobile conferencing, military communication. In MANET nodes can join and leave the network so MANET becomes vulnerable. Certain factors like dynamic network configures, distribution cooperation, open medium terrorized in routing which give rise to security issues. Once such protocol AODV has been a victim of security. In existing, MANET faces a severe problem known as the Black Hole problem. This Black hole problem is mostly found in reactive routing protocol called AODV.The black hole conducts its malicious node during route discovery process. Black hole node is a severe threat in AODV protocol that easily employed and becomes vulnerable in MANET. In this paper various techniques are discussed to overcome the Black hole attack.

A probabilistic misbehavior detection scheme towards efficient trust establis...Shakas Technologies

K1803036872IOSR Journals

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Consensus Routing And Environmental Discrete Trust Based Secure AODV in MANETsIJCNCJournal

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Exclusion of Denial of Service Attack using Graph Theory in MANETSIRJET Journal

A Cluster based Technique for Securing Routing Protocol AODV against Black-ho...ijdpsjournal

I1802046780IOSR Journals

Survey of wormhole attack in wireless sensor networksCSITiaesprime

Intelligent black hole detection in mobile AdHoc networksIJECEIAES

WDA: Wormhole Attack Detection Algorithm based on measuring Round Trip Delay ...ijsrd.com

Black Hole Attack Prevention Using Random Dispersive Routing for Mobile Adhoc...pijans

Privacy preserving and truthful detection of packetShakas Technologies

A NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETSFransiskeran

A Novel Intrusion Detection System for Detecting Black-Hole Nodes in MANETSGiselleginaGloria

Enhanced Secure Routing Model for MANETcscpconf

NTRUSION D ETECTION S YSTEMS IN M OBILE A D H OC N ETWORKS : S TATE OF ...ijcsa

PREVENTION OF WORMHOLE ATTACK IN WIRELESS SENSOR NETWORKIJNSA Journal

C0363012014inventionjournals

disruption of black hole attacks in manetINFOGAIN PUBLICATION

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