Detection of intelligent malicious and selfish nodes in VANET using threshold adaptive control
Detection of intelligent malicious and selfish nodes in VANET using threshold adaptive control
复制标题
使用阈值自适应控制检测 VANET 中的智能恶意和自私节点
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
N. Lagraa
中科院分区：
文献类型：
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作者：
C. A. Kerrache;Abderrahmane Lakas;N. Lagraa
检测恶意节点和自私节点是车载自组网的一项重要任务。与基于密码的解决方案相比，信任管理在计算延迟和移动性适应方面的成本更低，因此各种建议都采用信任管理作为替代解决方案。然而，现有的解决方案假设，一般来说，攻击者总是有一个不诚实的行为，随着时间的推移而持续。这种假设可能会产生误导，因为攻击者可以聪明地避免被检测到。本文提出了一种基于自适应检测阈值的智能恶意行为检测方法。除了恶意节点的检测，我们的解决方案煽动攻击者表现良好，因为任何恶意行为将立即检测到感谢自适应检测阈值。我们目前的模拟结果表明，我们的建议，在确保高比率的检测和数据包传输的高效率。
Detecting malicious and selfish nodes is an important task in Vehicular Adhoc NETworks (VANETs). Various proposals adopted trust management as an alternative solution for it is less costly in terms of computation delay and mobility adaptation, compared to the cryptography-based solutions. However, the existing solutions assume that in general the attackers have always a dishonest behavior that persists over time. This assumption may be misleading, as the attackers can behave intelligently to avoid being detected. In this paper we propose a new solution for the detection of intelligent malicious behaviors based on the adaptive detection threshold. In addition to the detection of malicious nodes, our solution incite attackers to behave well since any malicious behavior will be immediately detected thanks to the adaptive detection threshold. We present simulations results which show the high efficiency of our proposal at ensuring high ratios for both detection and packet delivery.