Misbehavior Detection in Message Forwarding Networks.

Date of Submission

December 2007

Date of Award

Winter 12-12-2008

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science

Department

Computer and Statistical Services Centre (CSSC)

Supervisor

Bagchi, Aditya (CSSC-Kolkata; ISI)

Abstract (Summary of the Work)

Social networks rely on the cooperation of the nodes participating in the network to forward packets to each other. However, it may be advantageous for individual nodes not to cooperate to save its resources, while still using the network to relay its own traffic. If too many nodes exhibit this misbehavior, network performance degrades and cooperating nodes may find themselves unfairly loaded. We propose a centralize protocol for social networks, making misbehavior unattractive for nodes. It aims at detecting and isolating misbehaving nodes, thus making it unattractive to deny co-operation.Simulation experiments show that CONTROL node which controls the entire network, successfully detects misbehaving nodes by using the proposed protocol.

Comments

ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843117

Control Number

ISI-DISS-2007-204

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

http://dspace.isical.ac.in:8080/jspui/handle/10263/6367

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