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

  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},
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

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.
Showing 1-7 of 7 extracted citations

Detecting packet dropping nodes using machine learning techniques in Mobile ad-hoc network: A survey

2015 International Conference on Signal Processing and Communication Engineering Systems • 2015
View 5 Excerpts
Highly Influenced

Novel approach for security in Wireless Sensor Network using bio-inspirations

2014 Sixth International Conference on Communication Systems and Networks (COMSNETS) • 2014
View 1 Excerpt

A trust management scheme for industrial wireless sensor networks

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society • 2013
View 1 Excerpt


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

Similar Papers

Loading similar papers…