NDLI: Improved Weight Clustering Algorithm for IDs in Mobile Ad Hoc Network

Content Provider	IEEE Xplore Digital Library
Author	Jieying Zhou Jianfeng Chen Weicong Xie Jing Li
Copyright Year	2007
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Sun Yat-sen Univ., Guangzhou (Jieying Zhou; Jianfeng Chen; Weicong Xie; Jing Li)
Abstract	An IDS is a defense system that detects hostile activities in a network and then tries to prevent such activities that may compromise system security. This paper studies on IDS architecture and clustering algorithm, and proposes an improved weight clustering algorithm for IDS in MANET with considering node credibility, link stability and fairness in cluster head competition. By using this algorithm, the whole network can be divided into some subclusters and carries out an effective intrusion detection mechanism, which performs distributed detection in the whole network and centralized decision-making at local node. In addition, it can reduce the computation load and the amount of bandwidth which is extremely important for MANET due to limited bandwidth and low communication speed in MANET. The proposed algorithm is simulated via OPNET. Simulation results show that IWCA has better adaptability for MANET than other relative protocols, and be suitable for IDS in MANET.
Starting Page	1565
Ending Page	1568
File Size	126143
Page Count	4
File Format	PDF
ISBN	9781424413119
DOI	10.1109/WICOM.2007.394
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile agents Clustering algorithms Intrusion detection Information security Bandwidth Mobile communication Ad hoc networks Communication system security Sun Mobile ad hoc networks
Content Type	Text
Resource Type	Article

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Improved Weight Clustering Algorithm for IDs in Mobile Ad Hoc Network

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