By Topic

A Detection Method for Routing Attacks of Wireless Sensor Network Based on Fuzzy C-means Clustering

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)
Tong Wang ; Dep.Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China ; Zhe Liang ; Chunhui Zhao

Security is a critical challenge for creating robust and reliable sensor networks. For the particularity and security threats of wireless sensor networks, we proposed an anomaly detection method based on Fuzzy C-means Clustering (FCM) to detect routing attacks caused by abnormal flows in this paper. This paper analyzes the datas from network connections through the Fuzzy C-means Clustering methods to detect routing attacks, and the empirical evidence shows its efficiency and stability.

Published in:

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on  (Volume:3 )

Date of Conference:

14-16 Aug. 2009