An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks
An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks
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DOI：
10.3837/tiis.2012.07.009
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发表时间：
2012-07
期刊：
影响因子：
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通讯作者：
Yunho Lee;S. Yoo;Soojin Lee
中科院分区：
文献类型：
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作者：
Yunho Lee;S. Yoo;Soojin Lee
基于每个节点单独创建的声誉来检测异常活动的方法容易受到错误指控，因为在ad-hoc网络中的入侵检测是以分布式和协作的方式进行的。在入侵检测过程中，如果将正常节点视为异常节点而排除在网络之外，会严重降低网络的效率和生存能力，因此，误报检测被认为是非常重要的。在本文中，我们提出了一种改进的基于声誉的入侵检测技术，有效地检测和管理ad-hoc网络中的虚假指控。此外，我们执行模拟所提出的技术，以分析其性能和可行性，在真实的环境中实施。
An approach to detect abnormal activities based on reputations created individually by each node is vulnerable to a false accusation since intrusion detection in ad-hoc networks is done in a distributed and cooperative manner. Detection of false accusation is considered important because the efficiency or survivability of the network can be degraded severely if normal nodes were excluded from the network by being considered as abnormal ones in the intrusion detection process. In this paper, we propose an improved reputation-based intrusion detection technique to efficiently detect and manage false accusations in ad-hoc networks. Additionally, we execute simulations of the proposed technique to analyze its performance and feasibility to be implemented in a real environment.