A Machine Learning Based Reputation System for Defending Against Malicious Node Behavior

@article{Akbani2008AML,
  title={A Machine Learning Based Reputation System for Defending Against Malicious Node Behavior},
  author={Rehan Akbani and Turgay Korkmaz and G. V. S. Raju},
  journal={IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference},
  year={2008},
  pages={1-5}
}
Reputation systems (RS) are designed to detect malicious nodes in a network and thwart their attacks, such as the spreading of viruses or worms, or attacking known vulnerabilities. They do this by collecting information about past transactions of a node and utilizing that to predict its future behavior. Traditionally, RSs have been designed by manually devising specific models or equations that use historical data to defend against certain types of attacks. In this paper, we propose a machine… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 11 references

Trust Evaluation in Anarchy: A Case Study on Autonomous Networks

Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications • 2006
View 10 Excerpts
Highly Influenced

Support Vector Machines for pattern classification (advances in pattern recognition)

S. Abe
Springer, ISBN: 1852339292, Chp 6, 11, July 2005. • 1852
View 4 Excerpts
Highly Influenced

A survey of trust and reputation systems for online service provision

A. Josang, R. Ismail, C. Boyd
Decision Support Systems, Vol. 43, Issue 2, pp 618-644, March 2007. • 2007
View 1 Excerpt

Ant-based adaptive trust evidence distribution in MANET

24th International Conference on Distributed Computing Systems Workshops, 2004. Proceedings. • 2004
View 1 Excerpt

The Beta Reputation System

Bled eConference • 2002
View 2 Excerpts

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