A Threshold-Adaptive Reputation System on Mobile Ad Hoc Networks
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概要
- 論文の詳細を見る
In recent years huge potential benefits from novel applications in mobile ad hoc networks (MANET) have been discussed extensively. However, without robust security mechanisms and systems to provide safety shell through the MANET infrastructure, MANET applications can be vulnerable and hammered by malicious attackers easily. In order to detect misbehaved message routing and identify malicious attackers in MANET, schemes based on reputation concept have shown their advantages in this area in terms of good scalability and simple threshold-based detection strategy. We observed that previous reputation schemes generally use predefined thresholds which do not take into account the effect of behavior dynamics between nodes in a period of time. In this paper, we propose a Threshold-Adaptive Reputation System (TARS) to overcome the shortcomings of static threshold strategy and improve the overall MANET performance under misbehaved routing attack. A fuzzy-based inference engine is introduced to evaluate the trustiness of a nodes one-hop neighbors. Malicious nodes whose trust values are lower than the adaptive threshold, will be detected and filtered out by their honest neighbors during trustiness evaluation process. The results of network simulation show that the TARS outperforms other compared schemes under security attacks in most cases and at the same time reduces the decrease of total packet delivery ratio by 67% in comparison with MANET without reputation system.
- （社）電子情報通信学会の論文
- 2009-05-01
著者
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Wu Tzong-chen
Department Of Information Management National Taiwan University Of Science And Technology
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Tsai Hsiao-chien
Department Of Information Management National Taiwan University Of Science And Technology
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LO Nai-Wei
Department of Information Management, National Taiwan University of Science and Technology
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Lo Nai-wei
Department Of Information Management National Taiwan University Of Science And Technology