SlideShare a Scribd company logo
Access Policy Consolidation for Event Processing
Systems
ABSTRACT
Current event processing systems lack methods to preserve privacy constraints of incoming event streams in a chain of
subsequently applied stream operations. This is a problem in large-scale distributed applications like a logistic chain
where event processing operators may be spread over multiple security domains. An adversary can infer from legally
received outgoing event streams confidential input streams of the event processing system. This paper presents a fine-
grained access management for complex event processing. Each incoming event stream can be protected by the
specification of an access policy and is enforced by algorithms for access consolidation. The utility of the event
processing system is increased by providing and computing in a scalable manner a measure for the obfuscation of event
streams. An obfuscation threshold as part of the access policy allows to ignore access requirements and deliver events
which have achieved a sufficient high obfuscation level.
.
EXISTING SYSTEM
On the one hand, sampling techniques can be used to estimate the conditional probabilities of the Bayesian network.
However, their precision depends strongly on the number of samples taken from the network, and no approximation
scheme exists that allows to draw samples in polynomial time to achieve a certain precision. This makes the
approximate algorithms infeasible for security applications, since no guarantees can be made in appropriate time. On
the other hand the complexity of calculating exact inference can be reduced by storing partial results of the inference
GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com
calculation which otherwise would have to be calculated multiple times. However, the benefit of these optimizations is
heavily dependent on the structure of the Bayesian network.
PROPOSED SYSTEM
A role-based access control is proposed. Pesonen et al. and Bacon et al. discuss how publish/subscribe systems can be
secured by introducing access control policies in a multi-domain architecture. They describe how event communication
between the domains can be supported. Opyrchal et al. present the concept of event owners that can be specified.
These are used to provide access to their events. Tariq et al. propose a solution to provide authentication and
confidentiality in broker-less content-based publish/subscribe systems. Our work is based on the previous work which
make event communication secure among different entities in the system a. We assume the presence of a system that
can handle access control on events. Based on this, we use policy composition in order to derive the necessary access
policies at any point during the event processing steps.
MODULE DESCRIPTION:
1. Event Processing
2. Manufacturer
3. Shipping Company
4. Customer
Event processing
Event processing systems respond to events in the system’s environment or user interface. The key
characteristic of event processing systems is that the timing of events is unpredictable and the system must be
able to cope with these events when they occur.
Manufacturer
In this module manufacturer, insert the product details and also view product request from shipping
company. Send details to shipping company to delivery date and pickup time.
Ship Company
In this module ship company, view product request from customer. Then company forward the request to
manufacturer or reject the request.
Customer
In this module customer, product order from Ship Company and also views the order from Ship Company.
Customer views the import details.
System Configuration:-
H/W System Configuration:-
Processor - Pentium –III
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Floppy Drive - 1.44 MB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
S/W System Configuration:-
Operating System :Windows95/98/2000/XP
Application Server : Tomcat5.0/6.X
Front End : HTML, Java, Jsp
Scripts : JavaScript.
Server side Script : Java Server Pages.
Database : Mysql
Database Connectivity : JDBC.
CONCLUSION
This paper addressed the inheritance and consolidation of access policies in heterogeneous CEP systems. We identified a
lack of security in multi-hop event processing networks and proposed a solution to close this gap. More specific, we
presented an approach that allows the inheritance of access requirements, when events are correlated to complex
events. Our algorithm includes the obfuscation of information, which can happen during the correlation process, and
uses the obfuscation value as a decision-making basis whether inheritance is needed. We presented an implementation
of our approach, based on Bayesian Network calculations.
The analysis and evaluations show that the approach is computation-intensive, once the Bayesian Network
grows, hence rising the processing time of an event. To deal with the calculation cost, we introduced a local approach,
where every participant calculates local obfuscation achieved during the correlation process. We use a variable
elimination optimization to further reduce the computational effort for calculating obfuscation. Future work will
concentrate on enhancing the obfuscation calculation and methods to increase the Bayesian Network size so we are
able to measure obfuscation over more than one correlation steps.
Ad

More Related Content

What's hot (10)

Performance testing
Performance testing Performance testing
Performance testing
ekatechserv
 
SQLi for Security Champions
SQLi for Security ChampionsSQLi for Security Champions
SQLi for Security Champions
PetraVukmirovic
 
Application Performance Testing Checklist
Application Performance Testing ChecklistApplication Performance Testing Checklist
Application Performance Testing Checklist
Collaborative Consulting
 
Billing software
Billing softwareBilling software
Billing software
Varun Jain
 
Performance testing interview questions and answers
Performance testing interview questions and answersPerformance testing interview questions and answers
Performance testing interview questions and answers
Garuda Trainings
 
Fundamentals Performance Testing
Fundamentals Performance TestingFundamentals Performance Testing
Fundamentals Performance Testing
Bhuvaneswari Subramani
 
Creating Digital Confidence with Test Automation
Creating Digital Confidence with Test AutomationCreating Digital Confidence with Test Automation
Creating Digital Confidence with Test Automation
Sauce Labs
 
A STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONS
A STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONSA STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONS
A STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONS
ecij
 
How to Prevent Captiva Downtime in 3 Steps
How to Prevent Captiva Downtime in 3 StepsHow to Prevent Captiva Downtime in 3 Steps
How to Prevent Captiva Downtime in 3 Steps
Reveille Software
 
Implementing white box testing
Implementing white box testingImplementing white box testing
Implementing white box testing
MariamKhan120
 
Performance testing
Performance testing Performance testing
Performance testing
ekatechserv
 
SQLi for Security Champions
SQLi for Security ChampionsSQLi for Security Champions
SQLi for Security Champions
PetraVukmirovic
 
Billing software
Billing softwareBilling software
Billing software
Varun Jain
 
Performance testing interview questions and answers
Performance testing interview questions and answersPerformance testing interview questions and answers
Performance testing interview questions and answers
Garuda Trainings
 
Creating Digital Confidence with Test Automation
Creating Digital Confidence with Test AutomationCreating Digital Confidence with Test Automation
Creating Digital Confidence with Test Automation
Sauce Labs
 
A STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONS
A STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONSA STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONS
A STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONS
ecij
 
How to Prevent Captiva Downtime in 3 Steps
How to Prevent Captiva Downtime in 3 StepsHow to Prevent Captiva Downtime in 3 Steps
How to Prevent Captiva Downtime in 3 Steps
Reveille Software
 
Implementing white box testing
Implementing white box testingImplementing white box testing
Implementing white box testing
MariamKhan120
 

Similar to Access policy consolidation for event processing systems (20)

Cloud Computing Environment using Secured Access Control Technique
Cloud Computing Environment using Secured Access Control TechniqueCloud Computing Environment using Secured Access Control Technique
Cloud Computing Environment using Secured Access Control Technique
IRJET Journal
 
Providing user security guarantees in public infrastructure clouds
Providing user security guarantees in public infrastructure cloudsProviding user security guarantees in public infrastructure clouds
Providing user security guarantees in public infrastructure clouds
Kamal Spring
 
PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...
PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...
PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...
paperpublications3
 
.Net projects 2011 by core ieeeprojects.com
.Net projects 2011 by core ieeeprojects.com .Net projects 2011 by core ieeeprojects.com
.Net projects 2011 by core ieeeprojects.com
msudan92
 
IRJET- Machine Learning based Network Security
IRJET-  	  Machine Learning based Network SecurityIRJET-  	  Machine Learning based Network Security
IRJET- Machine Learning based Network Security
IRJET Journal
 
Multi-Server Authentication Key Exchange Approach in BIGDATA Environment
Multi-Server Authentication Key Exchange Approach in BIGDATA EnvironmentMulti-Server Authentication Key Exchange Approach in BIGDATA Environment
Multi-Server Authentication Key Exchange Approach in BIGDATA Environment
IRJET Journal
 
Parallel and distributed system projects for java and dot net
Parallel and distributed system projects for java and dot netParallel and distributed system projects for java and dot net
Parallel and distributed system projects for java and dot net
redpel dot com
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
ijceronline
 
Secure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platformSecure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platform
Nexgen Technology
 
Secure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platformSecure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platform
Nexgen Technology
 
Ensuring distributed accountability
Ensuring distributed accountabilityEnsuring distributed accountability
Ensuring distributed accountability
Nandini Chandran
 
Ieee transactions on 2018 network and service management
Ieee transactions on 2018 network and service managementIeee transactions on 2018 network and service management
Ieee transactions on 2018 network and service management
tsysglobalsolutions
 
Secure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platformSecure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platform
redpel dot com
 
IEEE Networking 2016 Title and Abstract
IEEE Networking 2016 Title and AbstractIEEE Networking 2016 Title and Abstract
IEEE Networking 2016 Title and Abstract
tsysglobalsolutions
 
Privacy preserving public auditing for secure cloud storage
Privacy preserving public auditing for secure cloud storagePrivacy preserving public auditing for secure cloud storage
Privacy preserving public auditing for secure cloud storage
IEEEFINALYEARPROJECTS
 
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...
IEEEGLOBALSOFTTECHNOLOGIES
 
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...
IEEEGLOBALSOFTTECHNOLOGIES
 
Ensuring distributed accountability for data sharing in the cloud
Ensuring distributed accountability for data sharing in the cloudEnsuring distributed accountability for data sharing in the cloud
Ensuring distributed accountability for data sharing in the cloud
Sathya Moorthy
 
Cloud java titles adrit solutions
Cloud java titles adrit solutionsCloud java titles adrit solutions
Cloud java titles adrit solutions
Adrit Techno Solutions
 
M.E Computer Science Secure Computing Projects
M.E Computer Science Secure Computing ProjectsM.E Computer Science Secure Computing Projects
M.E Computer Science Secure Computing Projects
Vijay Karan
 
Cloud Computing Environment using Secured Access Control Technique
Cloud Computing Environment using Secured Access Control TechniqueCloud Computing Environment using Secured Access Control Technique
Cloud Computing Environment using Secured Access Control Technique
IRJET Journal
 
Providing user security guarantees in public infrastructure clouds
Providing user security guarantees in public infrastructure cloudsProviding user security guarantees in public infrastructure clouds
Providing user security guarantees in public infrastructure clouds
Kamal Spring
 
PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...
PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...
PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...
paperpublications3
 
.Net projects 2011 by core ieeeprojects.com
.Net projects 2011 by core ieeeprojects.com .Net projects 2011 by core ieeeprojects.com
.Net projects 2011 by core ieeeprojects.com
msudan92
 
IRJET- Machine Learning based Network Security
IRJET-  	  Machine Learning based Network SecurityIRJET-  	  Machine Learning based Network Security
IRJET- Machine Learning based Network Security
IRJET Journal
 
Multi-Server Authentication Key Exchange Approach in BIGDATA Environment
Multi-Server Authentication Key Exchange Approach in BIGDATA EnvironmentMulti-Server Authentication Key Exchange Approach in BIGDATA Environment
Multi-Server Authentication Key Exchange Approach in BIGDATA Environment
IRJET Journal
 
Parallel and distributed system projects for java and dot net
Parallel and distributed system projects for java and dot netParallel and distributed system projects for java and dot net
Parallel and distributed system projects for java and dot net
redpel dot com
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
ijceronline
 
Secure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platformSecure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platform
Nexgen Technology
 
Secure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platformSecure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platform
Nexgen Technology
 
Ensuring distributed accountability
Ensuring distributed accountabilityEnsuring distributed accountability
Ensuring distributed accountability
Nandini Chandran
 
Ieee transactions on 2018 network and service management
Ieee transactions on 2018 network and service managementIeee transactions on 2018 network and service management
Ieee transactions on 2018 network and service management
tsysglobalsolutions
 
Secure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platformSecure sensitive data sharing on a big data platform
Secure sensitive data sharing on a big data platform
redpel dot com
 
IEEE Networking 2016 Title and Abstract
IEEE Networking 2016 Title and AbstractIEEE Networking 2016 Title and Abstract
IEEE Networking 2016 Title and Abstract
tsysglobalsolutions
 
Privacy preserving public auditing for secure cloud storage
Privacy preserving public auditing for secure cloud storagePrivacy preserving public auditing for secure cloud storage
Privacy preserving public auditing for secure cloud storage
IEEEFINALYEARPROJECTS
 
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...
IEEEGLOBALSOFTTECHNOLOGIES
 
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...
IEEEGLOBALSOFTTECHNOLOGIES
 
Ensuring distributed accountability for data sharing in the cloud
Ensuring distributed accountability for data sharing in the cloudEnsuring distributed accountability for data sharing in the cloud
Ensuring distributed accountability for data sharing in the cloud
Sathya Moorthy
 
M.E Computer Science Secure Computing Projects
M.E Computer Science Secure Computing ProjectsM.E Computer Science Secure Computing Projects
M.E Computer Science Secure Computing Projects
Vijay Karan
 
Ad

More from IEEEFINALYEARPROJECTS (20)

Scalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsScalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewords
IEEEFINALYEARPROJECTS
 
Scalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsScalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewords
IEEEFINALYEARPROJECTS
 
Reversible watermarking based on invariant image classification and dynamic h...
Reversible watermarking based on invariant image classification and dynamic h...Reversible watermarking based on invariant image classification and dynamic h...
Reversible watermarking based on invariant image classification and dynamic h...
IEEEFINALYEARPROJECTS
 
Reversible data hiding with optimal value transfer
Reversible data hiding with optimal value transferReversible data hiding with optimal value transfer
Reversible data hiding with optimal value transfer
IEEEFINALYEARPROJECTS
 
Query adaptive image search with hash codes
Query adaptive image search with hash codesQuery adaptive image search with hash codes
Query adaptive image search with hash codes
IEEEFINALYEARPROJECTS
 
Noise reduction based on partial reference, dual-tree complex wavelet transfo...
Noise reduction based on partial reference, dual-tree complex wavelet transfo...Noise reduction based on partial reference, dual-tree complex wavelet transfo...
Noise reduction based on partial reference, dual-tree complex wavelet transfo...
IEEEFINALYEARPROJECTS
 
Local directional number pattern for face analysis face and expression recogn...
Local directional number pattern for face analysis face and expression recogn...Local directional number pattern for face analysis face and expression recogn...
Local directional number pattern for face analysis face and expression recogn...
IEEEFINALYEARPROJECTS
 
An access point based fec mechanism for video transmission over wireless la ns
An access point based fec mechanism for video transmission over wireless la nsAn access point based fec mechanism for video transmission over wireless la ns
An access point based fec mechanism for video transmission over wireless la ns
IEEEFINALYEARPROJECTS
 
Towards differential query services in cost efficient clouds
Towards differential query services in cost efficient cloudsTowards differential query services in cost efficient clouds
Towards differential query services in cost efficient clouds
IEEEFINALYEARPROJECTS
 
Spoc a secure and privacy preserving opportunistic computing framework for mo...
Spoc a secure and privacy preserving opportunistic computing framework for mo...Spoc a secure and privacy preserving opportunistic computing framework for mo...
Spoc a secure and privacy preserving opportunistic computing framework for mo...
IEEEFINALYEARPROJECTS
 
Secure and efficient data transmission for cluster based wireless sensor netw...
Secure and efficient data transmission for cluster based wireless sensor netw...Secure and efficient data transmission for cluster based wireless sensor netw...
Secure and efficient data transmission for cluster based wireless sensor netw...
IEEEFINALYEARPROJECTS
 
Privacy preserving back propagation neural network learning over arbitrarily ...
Privacy preserving back propagation neural network learning over arbitrarily ...Privacy preserving back propagation neural network learning over arbitrarily ...
Privacy preserving back propagation neural network learning over arbitrarily ...
IEEEFINALYEARPROJECTS
 
Non cooperative location privacy
Non cooperative location privacyNon cooperative location privacy
Non cooperative location privacy
IEEEFINALYEARPROJECTS
 
Harnessing the cloud for securely outsourcing large
Harnessing the cloud for securely outsourcing largeHarnessing the cloud for securely outsourcing large
Harnessing the cloud for securely outsourcing large
IEEEFINALYEARPROJECTS
 
Geo community-based broadcasting for data dissemination in mobile social netw...
Geo community-based broadcasting for data dissemination in mobile social netw...Geo community-based broadcasting for data dissemination in mobile social netw...
Geo community-based broadcasting for data dissemination in mobile social netw...
IEEEFINALYEARPROJECTS
 
Enabling data dynamic and indirect mutual trust for cloud computing storage s...
Enabling data dynamic and indirect mutual trust for cloud computing storage s...Enabling data dynamic and indirect mutual trust for cloud computing storage s...
Enabling data dynamic and indirect mutual trust for cloud computing storage s...
IEEEFINALYEARPROJECTS
 
Dynamic resource allocation using virtual machines for cloud computing enviro...
Dynamic resource allocation using virtual machines for cloud computing enviro...Dynamic resource allocation using virtual machines for cloud computing enviro...
Dynamic resource allocation using virtual machines for cloud computing enviro...
IEEEFINALYEARPROJECTS
 
A secure protocol for spontaneous wireless ad hoc networks creation
A secure protocol for spontaneous wireless ad hoc networks creationA secure protocol for spontaneous wireless ad hoc networks creation
A secure protocol for spontaneous wireless ad hoc networks creation
IEEEFINALYEARPROJECTS
 
Utility privacy tradeoff in databases an information-theoretic approach
Utility privacy tradeoff in databases an information-theoretic approachUtility privacy tradeoff in databases an information-theoretic approach
Utility privacy tradeoff in databases an information-theoretic approach
IEEEFINALYEARPROJECTS
 
Two tales of privacy in online social networks
Two tales of privacy in online social networksTwo tales of privacy in online social networks
Two tales of privacy in online social networks
IEEEFINALYEARPROJECTS
 
Scalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsScalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewords
IEEEFINALYEARPROJECTS
 
Scalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewordsScalable face image retrieval using attribute enhanced sparse codewords
Scalable face image retrieval using attribute enhanced sparse codewords
IEEEFINALYEARPROJECTS
 
Reversible watermarking based on invariant image classification and dynamic h...
Reversible watermarking based on invariant image classification and dynamic h...Reversible watermarking based on invariant image classification and dynamic h...
Reversible watermarking based on invariant image classification and dynamic h...
IEEEFINALYEARPROJECTS
 
Reversible data hiding with optimal value transfer
Reversible data hiding with optimal value transferReversible data hiding with optimal value transfer
Reversible data hiding with optimal value transfer
IEEEFINALYEARPROJECTS
 
Query adaptive image search with hash codes
Query adaptive image search with hash codesQuery adaptive image search with hash codes
Query adaptive image search with hash codes
IEEEFINALYEARPROJECTS
 
Noise reduction based on partial reference, dual-tree complex wavelet transfo...
Noise reduction based on partial reference, dual-tree complex wavelet transfo...Noise reduction based on partial reference, dual-tree complex wavelet transfo...
Noise reduction based on partial reference, dual-tree complex wavelet transfo...
IEEEFINALYEARPROJECTS
 
Local directional number pattern for face analysis face and expression recogn...
Local directional number pattern for face analysis face and expression recogn...Local directional number pattern for face analysis face and expression recogn...
Local directional number pattern for face analysis face and expression recogn...
IEEEFINALYEARPROJECTS
 
An access point based fec mechanism for video transmission over wireless la ns
An access point based fec mechanism for video transmission over wireless la nsAn access point based fec mechanism for video transmission over wireless la ns
An access point based fec mechanism for video transmission over wireless la ns
IEEEFINALYEARPROJECTS
 
Towards differential query services in cost efficient clouds
Towards differential query services in cost efficient cloudsTowards differential query services in cost efficient clouds
Towards differential query services in cost efficient clouds
IEEEFINALYEARPROJECTS
 
Spoc a secure and privacy preserving opportunistic computing framework for mo...
Spoc a secure and privacy preserving opportunistic computing framework for mo...Spoc a secure and privacy preserving opportunistic computing framework for mo...
Spoc a secure and privacy preserving opportunistic computing framework for mo...
IEEEFINALYEARPROJECTS
 
Secure and efficient data transmission for cluster based wireless sensor netw...
Secure and efficient data transmission for cluster based wireless sensor netw...Secure and efficient data transmission for cluster based wireless sensor netw...
Secure and efficient data transmission for cluster based wireless sensor netw...
IEEEFINALYEARPROJECTS
 
Privacy preserving back propagation neural network learning over arbitrarily ...
Privacy preserving back propagation neural network learning over arbitrarily ...Privacy preserving back propagation neural network learning over arbitrarily ...
Privacy preserving back propagation neural network learning over arbitrarily ...
IEEEFINALYEARPROJECTS
 
Harnessing the cloud for securely outsourcing large
Harnessing the cloud for securely outsourcing largeHarnessing the cloud for securely outsourcing large
Harnessing the cloud for securely outsourcing large
IEEEFINALYEARPROJECTS
 
Geo community-based broadcasting for data dissemination in mobile social netw...
Geo community-based broadcasting for data dissemination in mobile social netw...Geo community-based broadcasting for data dissemination in mobile social netw...
Geo community-based broadcasting for data dissemination in mobile social netw...
IEEEFINALYEARPROJECTS
 
Enabling data dynamic and indirect mutual trust for cloud computing storage s...
Enabling data dynamic and indirect mutual trust for cloud computing storage s...Enabling data dynamic and indirect mutual trust for cloud computing storage s...
Enabling data dynamic and indirect mutual trust for cloud computing storage s...
IEEEFINALYEARPROJECTS
 
Dynamic resource allocation using virtual machines for cloud computing enviro...
Dynamic resource allocation using virtual machines for cloud computing enviro...Dynamic resource allocation using virtual machines for cloud computing enviro...
Dynamic resource allocation using virtual machines for cloud computing enviro...
IEEEFINALYEARPROJECTS
 
A secure protocol for spontaneous wireless ad hoc networks creation
A secure protocol for spontaneous wireless ad hoc networks creationA secure protocol for spontaneous wireless ad hoc networks creation
A secure protocol for spontaneous wireless ad hoc networks creation
IEEEFINALYEARPROJECTS
 
Utility privacy tradeoff in databases an information-theoretic approach
Utility privacy tradeoff in databases an information-theoretic approachUtility privacy tradeoff in databases an information-theoretic approach
Utility privacy tradeoff in databases an information-theoretic approach
IEEEFINALYEARPROJECTS
 
Two tales of privacy in online social networks
Two tales of privacy in online social networksTwo tales of privacy in online social networks
Two tales of privacy in online social networks
IEEEFINALYEARPROJECTS
 
Ad

Recently uploaded (20)

Agentic Automation - Delhi UiPath Community Meetup
Agentic Automation - Delhi UiPath Community MeetupAgentic Automation - Delhi UiPath Community Meetup
Agentic Automation - Delhi UiPath Community Meetup
Manoj Batra (1600 + Connections)
 
AsyncAPI v3 : Streamlining Event-Driven API Design
AsyncAPI v3 : Streamlining Event-Driven API DesignAsyncAPI v3 : Streamlining Event-Driven API Design
AsyncAPI v3 : Streamlining Event-Driven API Design
leonid54
 
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à Genève
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à GenèveUiPath Automation Suite – Cas d'usage d'une NGO internationale basée à Genève
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à Genève
UiPathCommunity
 
Kit-Works Team Study_아직도 Dockefile.pdf_김성호
Kit-Works Team Study_아직도 Dockefile.pdf_김성호Kit-Works Team Study_아직도 Dockefile.pdf_김성호
Kit-Works Team Study_아직도 Dockefile.pdf_김성호
Wonjun Hwang
 
IT488 Wireless Sensor Networks_Information Technology
IT488 Wireless Sensor Networks_Information TechnologyIT488 Wireless Sensor Networks_Information Technology
IT488 Wireless Sensor Networks_Information Technology
SHEHABALYAMANI
 
Developing System Infrastructure Design Plan.pptx
Developing System Infrastructure Design Plan.pptxDeveloping System Infrastructure Design Plan.pptx
Developing System Infrastructure Design Plan.pptx
wondimagegndesta
 
Cybersecurity Threat Vectors and Mitigation
Cybersecurity Threat Vectors and MitigationCybersecurity Threat Vectors and Mitigation
Cybersecurity Threat Vectors and Mitigation
VICTOR MAESTRE RAMIREZ
 
RTP Over QUIC: An Interesting Opportunity Or Wasted Time?
RTP Over QUIC: An Interesting Opportunity Or Wasted Time?RTP Over QUIC: An Interesting Opportunity Or Wasted Time?
RTP Over QUIC: An Interesting Opportunity Or Wasted Time?
Lorenzo Miniero
 
Config 2025 presentation recap covering both days
Config 2025 presentation recap covering both daysConfig 2025 presentation recap covering both days
Config 2025 presentation recap covering both days
TrishAntoni1
 
Dark Dynamism: drones, dark factories and deurbanization
Dark Dynamism: drones, dark factories and deurbanizationDark Dynamism: drones, dark factories and deurbanization
Dark Dynamism: drones, dark factories and deurbanization
Jakub Šimek
 
Slack like a pro: strategies for 10x engineering teams
Slack like a pro: strategies for 10x engineering teamsSlack like a pro: strategies for 10x engineering teams
Slack like a pro: strategies for 10x engineering teams
Nacho Cougil
 
Shoehorning dependency injection into a FP language, what does it take?
Shoehorning dependency injection into a FP language, what does it take?Shoehorning dependency injection into a FP language, what does it take?
Shoehorning dependency injection into a FP language, what does it take?
Eric Torreborre
 
Q1 2025 Dropbox Earnings and Investor Presentation
Q1 2025 Dropbox Earnings and Investor PresentationQ1 2025 Dropbox Earnings and Investor Presentation
Q1 2025 Dropbox Earnings and Investor Presentation
Dropbox
 
AI 3-in-1: Agents, RAG, and Local Models - Brent Laster
AI 3-in-1: Agents, RAG, and Local Models - Brent LasterAI 3-in-1: Agents, RAG, and Local Models - Brent Laster
AI 3-in-1: Agents, RAG, and Local Models - Brent Laster
All Things Open
 
machines-for-woodworking-shops-en-compressed.pdf
machines-for-woodworking-shops-en-compressed.pdfmachines-for-woodworking-shops-en-compressed.pdf
machines-for-woodworking-shops-en-compressed.pdf
AmirStern2
 
Reimagine How You and Your Team Work with Microsoft 365 Copilot.pptx
Reimagine How You and Your Team Work with Microsoft 365 Copilot.pptxReimagine How You and Your Team Work with Microsoft 365 Copilot.pptx
Reimagine How You and Your Team Work with Microsoft 365 Copilot.pptx
John Moore
 
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Conte...
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Conte...On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Conte...
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Conte...
Ivano Malavolta
 
Build With AI - In Person Session Slides.pdf
Build With AI - In Person Session Slides.pdfBuild With AI - In Person Session Slides.pdf
Build With AI - In Person Session Slides.pdf
Google Developer Group - Harare
 
Smart Investments Leveraging Agentic AI for Real Estate Success.pptx
Smart Investments Leveraging Agentic AI for Real Estate Success.pptxSmart Investments Leveraging Agentic AI for Real Estate Success.pptx
Smart Investments Leveraging Agentic AI for Real Estate Success.pptx
Seasia Infotech
 
Kit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdf
Kit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdfKit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdf
Kit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdf
Wonjun Hwang
 
AsyncAPI v3 : Streamlining Event-Driven API Design
AsyncAPI v3 : Streamlining Event-Driven API DesignAsyncAPI v3 : Streamlining Event-Driven API Design
AsyncAPI v3 : Streamlining Event-Driven API Design
leonid54
 
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à Genève
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à GenèveUiPath Automation Suite – Cas d'usage d'une NGO internationale basée à Genève
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à Genève
UiPathCommunity
 
Kit-Works Team Study_아직도 Dockefile.pdf_김성호
Kit-Works Team Study_아직도 Dockefile.pdf_김성호Kit-Works Team Study_아직도 Dockefile.pdf_김성호
Kit-Works Team Study_아직도 Dockefile.pdf_김성호
Wonjun Hwang
 
IT488 Wireless Sensor Networks_Information Technology
IT488 Wireless Sensor Networks_Information TechnologyIT488 Wireless Sensor Networks_Information Technology
IT488 Wireless Sensor Networks_Information Technology
SHEHABALYAMANI
 
Developing System Infrastructure Design Plan.pptx
Developing System Infrastructure Design Plan.pptxDeveloping System Infrastructure Design Plan.pptx
Developing System Infrastructure Design Plan.pptx
wondimagegndesta
 
Cybersecurity Threat Vectors and Mitigation
Cybersecurity Threat Vectors and MitigationCybersecurity Threat Vectors and Mitigation
Cybersecurity Threat Vectors and Mitigation
VICTOR MAESTRE RAMIREZ
 
RTP Over QUIC: An Interesting Opportunity Or Wasted Time?
RTP Over QUIC: An Interesting Opportunity Or Wasted Time?RTP Over QUIC: An Interesting Opportunity Or Wasted Time?
RTP Over QUIC: An Interesting Opportunity Or Wasted Time?
Lorenzo Miniero
 
Config 2025 presentation recap covering both days
Config 2025 presentation recap covering both daysConfig 2025 presentation recap covering both days
Config 2025 presentation recap covering both days
TrishAntoni1
 
Dark Dynamism: drones, dark factories and deurbanization
Dark Dynamism: drones, dark factories and deurbanizationDark Dynamism: drones, dark factories and deurbanization
Dark Dynamism: drones, dark factories and deurbanization
Jakub Šimek
 
Slack like a pro: strategies for 10x engineering teams
Slack like a pro: strategies for 10x engineering teamsSlack like a pro: strategies for 10x engineering teams
Slack like a pro: strategies for 10x engineering teams
Nacho Cougil
 
Shoehorning dependency injection into a FP language, what does it take?
Shoehorning dependency injection into a FP language, what does it take?Shoehorning dependency injection into a FP language, what does it take?
Shoehorning dependency injection into a FP language, what does it take?
Eric Torreborre
 
Q1 2025 Dropbox Earnings and Investor Presentation
Q1 2025 Dropbox Earnings and Investor PresentationQ1 2025 Dropbox Earnings and Investor Presentation
Q1 2025 Dropbox Earnings and Investor Presentation
Dropbox
 
AI 3-in-1: Agents, RAG, and Local Models - Brent Laster
AI 3-in-1: Agents, RAG, and Local Models - Brent LasterAI 3-in-1: Agents, RAG, and Local Models - Brent Laster
AI 3-in-1: Agents, RAG, and Local Models - Brent Laster
All Things Open
 
machines-for-woodworking-shops-en-compressed.pdf
machines-for-woodworking-shops-en-compressed.pdfmachines-for-woodworking-shops-en-compressed.pdf
machines-for-woodworking-shops-en-compressed.pdf
AmirStern2
 
Reimagine How You and Your Team Work with Microsoft 365 Copilot.pptx
Reimagine How You and Your Team Work with Microsoft 365 Copilot.pptxReimagine How You and Your Team Work with Microsoft 365 Copilot.pptx
Reimagine How You and Your Team Work with Microsoft 365 Copilot.pptx
John Moore
 
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Conte...
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Conte...On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Conte...
On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Conte...
Ivano Malavolta
 
Smart Investments Leveraging Agentic AI for Real Estate Success.pptx
Smart Investments Leveraging Agentic AI for Real Estate Success.pptxSmart Investments Leveraging Agentic AI for Real Estate Success.pptx
Smart Investments Leveraging Agentic AI for Real Estate Success.pptx
Seasia Infotech
 
Kit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdf
Kit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdfKit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdf
Kit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdf
Wonjun Hwang
 

Access policy consolidation for event processing systems

  • 1. Access Policy Consolidation for Event Processing Systems ABSTRACT Current event processing systems lack methods to preserve privacy constraints of incoming event streams in a chain of subsequently applied stream operations. This is a problem in large-scale distributed applications like a logistic chain where event processing operators may be spread over multiple security domains. An adversary can infer from legally received outgoing event streams confidential input streams of the event processing system. This paper presents a fine- grained access management for complex event processing. Each incoming event stream can be protected by the specification of an access policy and is enforced by algorithms for access consolidation. The utility of the event processing system is increased by providing and computing in a scalable manner a measure for the obfuscation of event streams. An obfuscation threshold as part of the access policy allows to ignore access requirements and deliver events which have achieved a sufficient high obfuscation level. . EXISTING SYSTEM On the one hand, sampling techniques can be used to estimate the conditional probabilities of the Bayesian network. However, their precision depends strongly on the number of samples taken from the network, and no approximation scheme exists that allows to draw samples in polynomial time to achieve a certain precision. This makes the approximate algorithms infeasible for security applications, since no guarantees can be made in appropriate time. On the other hand the complexity of calculating exact inference can be reduced by storing partial results of the inference GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com
  • 2. calculation which otherwise would have to be calculated multiple times. However, the benefit of these optimizations is heavily dependent on the structure of the Bayesian network. PROPOSED SYSTEM A role-based access control is proposed. Pesonen et al. and Bacon et al. discuss how publish/subscribe systems can be secured by introducing access control policies in a multi-domain architecture. They describe how event communication between the domains can be supported. Opyrchal et al. present the concept of event owners that can be specified. These are used to provide access to their events. Tariq et al. propose a solution to provide authentication and confidentiality in broker-less content-based publish/subscribe systems. Our work is based on the previous work which make event communication secure among different entities in the system a. We assume the presence of a system that can handle access control on events. Based on this, we use policy composition in order to derive the necessary access policies at any point during the event processing steps. MODULE DESCRIPTION: 1. Event Processing 2. Manufacturer 3. Shipping Company 4. Customer Event processing Event processing systems respond to events in the system’s environment or user interface. The key characteristic of event processing systems is that the timing of events is unpredictable and the system must be able to cope with these events when they occur. Manufacturer In this module manufacturer, insert the product details and also view product request from shipping company. Send details to shipping company to delivery date and pickup time.
  • 3. Ship Company In this module ship company, view product request from customer. Then company forward the request to manufacturer or reject the request. Customer In this module customer, product order from Ship Company and also views the order from Ship Company. Customer views the import details. System Configuration:- H/W System Configuration:- Processor - Pentium –III Speed - 1.1 Ghz RAM - 256 MB(min) Hard Disk - 20 GB Floppy Drive - 1.44 MB Key Board - Standard Windows Keyboard
  • 4. Mouse - Two or Three Button Mouse Monitor - SVGA S/W System Configuration:- Operating System :Windows95/98/2000/XP Application Server : Tomcat5.0/6.X Front End : HTML, Java, Jsp Scripts : JavaScript. Server side Script : Java Server Pages. Database : Mysql Database Connectivity : JDBC. CONCLUSION This paper addressed the inheritance and consolidation of access policies in heterogeneous CEP systems. We identified a lack of security in multi-hop event processing networks and proposed a solution to close this gap. More specific, we presented an approach that allows the inheritance of access requirements, when events are correlated to complex events. Our algorithm includes the obfuscation of information, which can happen during the correlation process, and uses the obfuscation value as a decision-making basis whether inheritance is needed. We presented an implementation of our approach, based on Bayesian Network calculations. The analysis and evaluations show that the approach is computation-intensive, once the Bayesian Network grows, hence rising the processing time of an event. To deal with the calculation cost, we introduced a local approach, where every participant calculates local obfuscation achieved during the correlation process. We use a variable elimination optimization to further reduce the computational effort for calculating obfuscation. Future work will concentrate on enhancing the obfuscation calculation and methods to increase the Bayesian Network size so we are able to measure obfuscation over more than one correlation steps.
  翻译: