A game theory-based surveillance mechanism against suspicious insiders in MANETs (work-in-progress)

Dong Hao, Yizhi Ren, Kouichi Sakurai

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

5 被引用数 (Scopus)

抄録

One of the most challenging issues in Mobile Ad-Hoc Network (MANET) is that the insiders are untrustworthy in packet forwarding stage. All the nodes which loss data-packets over a preset threshold can be generalized as Suspicious Insiders. To intimidate these suspicious insiders and reduce packet dropping, surveillance is the most direct and easiest method. In this paper, we propose a novel surveillance mechanism to monitor the packet dropping of suspicious insiders. On one hand, our work provides the monitor with optimal strategies which will maximize its long term utility; On the other hand, our work presents an on-demand monitoring scheme which will balance the tradeoff between security and resource consumption. First, we utilize a reputation scheme to distinguish suspicious insiders from legitimate members, and quantify the threat level of the suspicious insiders. Then taking into consideration security and resource consumption, we utilize game theory to analyze the interaction between monitor and suspicious insider. Finally, optimal mixed-strategy is computed to identify the best way for the monitor to respond to the suspicious insider.

本文言語英語
ホスト出版物のタイトルTrusted Systems - Second International Conference, INTRUST 2010, Revised Selected Papers
ページ237-252
ページ数16
DOI
出版ステータス出版済み - 11 29 2011
イベント2nd International Conference on Trusted Systems, INTRUST 2010 - Beijing, 中国
継続期間: 12 13 201012 15 2010

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
6802 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他2nd International Conference on Trusted Systems, INTRUST 2010
Country中国
CityBeijing
Period12/13/1012/15/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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