By Topic

Key Feature and Rule-based Intrusion Detection for Wireless Sensor Networks

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

4 Author(s)
Haiguang Chen ; Shanghai Normal Univ., Shanghai ; Huafeng Wu ; Xi Zhou ; Chuanshan Gao

Wireless sensor networks (WSNs) have a wide application. However, they are of interest to adversaries and are susceptible to some types of attacks for they are deployed in unprotected environments. In this paper we use key feature and rule-based intrusions detection for WSNs. In our scheme, we investigate different defense rules and key features in WSNs to build efficient, accurate and effective intrusion detection systems (IDSs). We also propose a moving window function method to gather the current activity data. The scheme fits the demands and restrictions of WSNs. The scheme does not need any cooperation among other monitor nodes. Simulation results show that we proposed IDSs is efficient and accurate.

Published in:

Network and Parallel Computing Workshops, 2007. NPC Workshops. IFIP International Conference on

Date of Conference:

18-21 Sept. 2007