By Topic

Detecting Malicious Behavior in Cooperative Diversity

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Sintayehu Dehnie ; Electrical and Computer Engineering Department, Polytechnic University, 5 MetroTech Center, Brooklyn, NY 11201 ; Huserv T. Sencar ; Nasir Memon

We consider a cooperative diversity scheme where a relay cooperatively enhances communication between a source and destination. In cooperative diversity, due to lack of a mechanism to ensure relay's adherence to the cooperation strategy, the receiver is often assumed to be passive. In this paper, we consider a smart destination which examines relay's signal prior to applying diversity combining. This is attributed to the assumption that relay may not conform to the cooperation strategies at all times and may behave maliciously. Based on this assumption, we develop a statistical detection technique to mitigate malicious relay behavior in decode-and-forward cooperation strategy. The detection technique statistically compares the signals received from the two diversity branches to determine the relay's behavior. As the uncertainty in the direct path is only due to the channel, correlation of received signals from the source and relay provides a basis to characterize relay behavior. We show, both by analysis and simulation, that a malicious relay reduces the correlation between the received signals in the diversity branch. Finally, we investigate bit-error rate and outage behavior performance in the presence of a smart destination.

Published in:

2007 41st Annual Conference on Information Sciences and Systems

Date of Conference:

14-16 March 2007