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Open nature of peer-to-peer systems exposes them to malicious activity. Building trust relationships among peers can mitigate attacks of malicious peers. This paper presents distributed algorithms that enable a peer to reason about trustworthiness of other peers based on past interactions and recommendations. Peers create their own trust network in their proximity by using local information available and do not try to learn global trust information. Two contexts of trust, service, and recommendation contexts, are defined to measure trustworthiness in providing services and giving recommendations. Interactions and recommendations are evaluated based on importance, recentness, and peer satisfaction parameters. Additionally, recommender’s trustworthiness and confidence about a recommendation are considered while evaluating recommendations.
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ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
WAY TO YOUR GOAL
NETWORK SECURITY PROJECT
FINAL YEAR PROJECTS
IEEE PROJECTS 2013-2014
CONTACT: 9940098300, 9500075001
E-Mail:[email protected]
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
SORT: A Self-Organizing Trust Model for Peer-to-Peer Systems
ABSTRACT
Open nature of peer-to-peer systems exposes them to malicious activity. Building
trust relationships among peers can mitigate attacks of malicious peers. This paper
presents distributed algorithms that enable a peer to reason about trustworthiness of
other peers based on past interactions and recommendations. Peers create their own
trust network in their proximity by using local information available and do not try to
learn global trust information. Two contexts of trust, service, and recommendation
contexts, are defined to measure trustworthiness in providing services and giving
recommendations. Interactions and recommendations are evaluated based on
importance, recentness, and peer satisfaction parameters. Additionally, recommender’s
trustworthiness and confidence about a recommendation are considered while
evaluating recommendations. Simulation experiments on a file sharing application
show that the proposed model can mitigate attacks on 16 different malicious behavior
models. In the experiments, good peers were able to form trust relationships in their
proximity and isolate malicious peers.
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
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The Institute of Electrical and Electronics Engineers or IEEE (read eye-triple-e) is Incorporated in the State of New York, United States. It was formed in 1963 by the merger of the Institute of Radio Engineers (IRE, founded 1912) and the American Institute of Electrical Engineers (AIEE, founded 1884). A membership organization comprised of engineers, scientists and students that sets standards for computers and communications. It is a nonprofit organization with more than 365,000 members in around 150 countries.
The IEEE describes itself as "the world's largest technical professional society -- promoting the development and application of electro technology and allied sciences for the benefit of humanity, the advancement of the profession, and the well-being of our members."
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ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
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0th Review 1st Review
Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture
Literature Survey Module List Module Description Data Flow Diagram Level DFD Module Wise DFD Problem Definition Review Document Explanation
2nd Review 3rd Review
Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two
module Review Document Explanation
Conclusion References Future Enhancement 65% code (Executable Format) Required Software Review Document Explanation
Final Review
Complete Code with Enhancement
Final Document (University Standard Format)
Complete Explanation for Project Concept & Code