基于自动机的公共无线网络恶意智能设备行为检测

发布时间：2018-06-06 06:37

本文选题：公共无线网络 + 恶意行为　；参考：《华中科技大学》2016年硕士论文

【摘要】：随着无线网络的快速发展,公共无线网络正在日益普及,而公共无线网络也已经成为了黑客非法窃取用户信息和资本的地方。由于公共无线网络所存在的开放性和脆弱性,各种各样的攻击方法也被运用到攻击公共无线网络中,但是防御方法却没有相应的发展,公共无线网络的安全性也成为亟待解决得问题。首先详尽的分析了公共无线网络中所面临的恶意智能设备的攻击行为,并对公共无线网络中恶意行为进行了行为界定,同时介绍了无线网络的802.11协议。为了设计出公共无线网络中恶意智能设备行为检测算法,有限自动机的概念被引入了进来,并对此概念进行了具体阐述,而有限自动机也经常被用于各种异常检测中。通过对公共无线网络中恶意攻击行为的行为特征进行提取,设计出了基于自动机的恶意攻击行为检测算法和模型。基于自动机的恶意攻击行为检测模型运用了自动机检测理论,通过对公共无线网络中用户行为进行分析,分离出具有恶意行为的用户智能设备,并对恶意行为进行警报处理。在最后,通过模拟公共无线网络中的实际环境,对所提出的恶意行为检测模型进行了实验,测试结果表明,所提出的模型能够有效检测针对无线局域网的大部分攻击,如拒绝服务攻击、中间人攻击等攻击,能够在一定程度上解决公共无线网络的安全性问题。
[Abstract]:With the rapid development of wireless network, public wireless network is becoming more and more popular, and public wireless network has become a place where hackers illegally steal user information and capital. Because of the openness and vulnerability of the public wireless network, various attack methods have been applied to attack the public wireless network, but the defense methods have not developed accordingly. The security of public wireless network has also become a problem to be solved. Firstly, the attack behavior of malicious intelligent devices in public wireless network is analyzed in detail, and the malicious behavior in public wireless network is defined. At the same time, the 802.11 protocol of wireless network is introduced. In order to design a behavior detection algorithm for malicious intelligent devices in public wireless networks, the concept of finite automata is introduced and elaborated in detail, and finite automata are often used in all kinds of anomaly detection. By extracting the behavior characteristics of malicious attack behavior in public wireless network, the detection algorithm and model of malicious attack behavior based on automata are designed. The detection model of malicious attack behavior based on automata uses the theory of automaton detection. By analyzing the behavior of users in public wireless networks, the intelligent devices with malicious behavior are separated and the malicious acts are alerted. Finally, by simulating the actual environment in the public wireless network, the proposed malicious behavior detection model is experimented. The test results show that the proposed model can effectively detect most attacks against WLAN. Such as denial of service attack, man-in-the-middle attack and so on, can solve the security problem of public wireless network to some extent.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP301.1;TN915.08

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