NDLI: Anomaly Intrusion Detection Methods for Peer-to-Peer System

Content Provider	IEEE Xplore Digital Library
Author	Daxin Tian Yanheng Liu Bin Li
Copyright Year	2007
Description	Author affiliation: Jilin Univ., Jilin (Daxin Tian; Yanheng Liu)
Abstract	Peer-to-peer systems and applications are the hotspot of research of network applications. As peer-to-peer system has no central system and is deployed on an open network, new concerns regarding security have been raised. As an additional security measure, the intrusion detection system would help determine whether unauthorized users are attempting to access, have already accessed, or have compromised the network Intrusion detection, as the second line of defense, is an indispensable tool for highly survivable networks. In this paper two anomaly intrusion detection methods are proposed for peer-to-peer system. The main characters of the methods are that they can detect intrusion in real-time without any expert knowledge and attack signatures. One method uses hidden Markov model to check reflector DoS attacks, another based on adaptive resonance theory, which can learn the normal behavior with unsupervised method. The experimental P2P system is built on FreePastry 1.401 and JDK 1.5.0. The results have indicated that the methods can find DoS attacks immediately and find new intruders with low false alarm rate.
Starting Page	127
Ending Page	130
File Size	339148
Page Count	4
File Format	PDF
ISBN	9780769529431
DOI	10.1109/NPC.2007.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Intrusion detection Hidden Markov models Authentication Educational institutions Resonance Communication system security Application software Computer crime Protection
Content Type	Text
Resource Type	Article

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