By Topic

Distributed Detection of Replica Cluster Attacks in Sensor Networks Using Sequential Analysis

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
$31 $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

1 Author(s)
Jun-Won Ho ; Dept. of Comput. Sci. & Eng., Univ. of Texas at Arlington, Arlington, TX

Due to the unattended nature of wireless sensor networks, an adversary can capture and compromise sensor nodes, generate replicas of those compromised nodes, and mount a variety of attacks with the replicas he injects into the network. This is a severe type of attack in the sense that the attacker can leverage the compromise of a single node to create widespread effects on the network. In particular, we are interested in replica cluster attacks, in which many replicas with the same identity form a cluster in a small region. This is also a dangerous attack because attacker can leverage a replica cluster to harmfully impact on the much of the network. To defend against replica cluster attacks, we propose an efficient and effective replica cluster detection scheme using the sequential probability ratio test. We show analytically that our scheme achieves a high replica cluster detection capability.

Published in:

Performance, Computing and Communications Conference, 2008. IPCCC 2008. IEEE International

Date of Conference:

7-9 Dec. 2008