Intrusive behavior analysis based on honey pot tracking and ant algorithm analysis

Chang-Lung Tsai, Chun-Chi Tseng, Chin-Chuan Han
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引用次数: 10

Abstract

In this paper, a novel intrusion behavior analysis mechanism based on the design of honey pot and the diagnosis of ant colony algorithm has been proposed. In which, there are monitor module, track module, and analysis module developed. The intrusive behavior is then analyzed through the above modules. In the developed honey pot, all of the architecture, database, directory, security parameters are updated dynamically and timely to evade the probe test from the intruders. To record the traverse of an intrusion, the pheromone will be deposited as discovered. In addition, in order to exactly and correctly measure the capability of the intruders, the content of those discovered file, path and database will be updated and the security setting will also be enhanced timely to raise the difficulty of visiting or access again. All of the traverse of intruders and the corresponding behavior will be analyzed based on ant colony algorithm. Experimental results demonstrate that the proposed IDS mechanism possesses good efficiency and performance.
基于蜜罐跟踪和蚂蚁算法分析的入侵行为分析
本文提出了一种基于蜜罐设计和蚁群算法诊断的入侵行为分析机制。其中开发了监控模块、跟踪模块和分析模块。然后通过上述模块对入侵行为进行分析。在开发的蜜罐中,所有的架构、数据库、目录、安全参数都是动态及时更新的,以逃避入侵者的探测测试。为了记录入侵的过程,信息素会被发现后储存起来。此外,为了准确准确地衡量入侵者的能力,我们会及时更新被发现的文件、路径和数据库的内容,并加强安全设置,以提高再次访问或访问的难度。在蚁群算法的基础上,分析入侵者的所有遍历过程和相应的行为。实验结果表明,所提出的入侵检测机制具有良好的效率和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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