Presentation 2006-03-02
Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic learning method
Satoshi KUROSAWA, Hidehisa NAKAYAMA, Nei KATO, Abbas JAMALIPOUR,
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Abstract(in English) This paper analyzes blackhole attack which is one of the possible attacks in ad hoc network. In blackhole attack, a malicious node impersonates a destination node by sending spoofed route reply packet to a source node that initiates a route discovery. By doing this, the malicious node can deprives the traffic from the source node. In order to prevent this kind of attack, it is crucial to detect the abnormality occurs during the attack. In conventional schemes, anomaly detection is achieved by defining the normal state from static training data. However, in mobile ad hoc network where the network topology dynamically changes, such static training method could not be used efficiently. In this paper, we propose anomaly detection scheme using dynamic training method which the training data is updated upon every certain time intervals. The simulation results show the effectiveness of our scheme compared with conventional scheme.
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Keyword(in English) Mobile Ad Hoc Network / blackhole attack / Anomaly Detection / AODV
Paper # NS2005-174
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Conference Information
Committee NS
Conference Date 2006/2/23(1days)
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Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic learning method
Sub Title (in English)
Keyword(1) Mobile Ad Hoc Network
Keyword(2) blackhole attack
Keyword(3) Anomaly Detection
Keyword(4) AODV
1st Author's Name Satoshi KUROSAWA
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
2nd Author's Name Hidehisa NAKAYAMA
2nd Author's Affiliation Graduate School of Information Sciences, Tohoku University
3rd Author's Name Nei KATO
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University
4th Author's Name Abbas JAMALIPOUR
4th Author's Affiliation School of Electrical and Information Engineering, University of Sydney:Graduate School of Information Sciences, Tohoku University
Date 2006-03-02
Paper # NS2005-174
Volume (vol) vol.105
Number (no) 627
Page pp.pp.-
#Pages 4
Date of Issue