基于节点信誉的移动Ad Hoc网络入侵检测

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS International Journal of Computers Communications & Control Pub Date : 2019-11-17 DOI:10.15837/IJCCC.2019.5.3629
Lin Tao, Wu Peng, Gao Fengmei, Wu Tianshu
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引用次数: 0

摘要

由于节点的高移动性、传输介质的薄弱和缺少中心节点,移动自组网(MANET)比传统网络更容易受到攻击。为了克服这一漏洞,本文主要研究了在MANET中检测自利节点的方法,从而防止网络入侵。具体而言,提出了一种数据驱动的声誉评估模型,利用一种新的声誉机制来检测自私节点。该机制由监测模块、信誉评价模块、处罚模块和响应模块组成。通过仿真,将集成了声誉机制的自组网与传统自组网进行了比较。结果表明,声誉机制的加入可以抑制网络节点的自私行为,增强网络的安全性。
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Intrusion Detection for Mobile Ad Hoc Networks Based on Node Reputation
The mobile ad hoc network (MANET) is more vulnerable to attacks than traditional networks, due to the high mobility of nodes, the weakness of transmission media and the absence of central node. To overcome the vulnerability, this paper mainly studies the way to detect selfish nodes in the MANET, and thus prevent network intrusion. Specifically, a data-driven reputation evaluation model was proposed to detect selfish nodes using a new reputation mechanism. The mechanism consists of a monitoring module, a reputation evaluation module, penalty module and a response module. The MANET integrated with our reputation mechanism was compared with the traditional MANET through simulation. The results show that the addition of reputation mechanism can suppress the selfish behavior of network nodes and enhance network security.
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来源期刊
International Journal of Computers Communications & Control
International Journal of Computers Communications & Control 工程技术-计算机:信息系统
CiteScore
5.10
自引率
7.40%
发文量
55
审稿时长
6-12 weeks
期刊介绍: International Journal of Computers Communications & Control is directed to the international communities of scientific researchers in computers, communications and control, from the universities, research units and industry. To differentiate from other similar journals, the editorial policy of IJCCC encourages the submission of original scientific papers that focus on the integration of the 3 "C" (Computing, Communications, Control). In particular, the following topics are expected to be addressed by authors: (1) Integrated solutions in computer-based control and communications; (2) Computational intelligence methods & Soft computing (with particular emphasis on fuzzy logic-based methods, computing with words, ANN, evolutionary computing, collective/swarm intelligence); (3) Advanced decision support systems (with particular emphasis on the usage of combined solvers and/or web technologies).
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