基于组测试技术的恶意用户检测研究

M. Thai, Ying Xuan, Incheol Shin, T. Znati
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引用次数: 18

摘要

尽管经过了几十年的研究,目前大多数针对互联网服务的攻击还没有开发出具体的防御解决方案,更不用说新的攻击类型了。需要克服的一个重要问题是,恶意流量可能与合法流量相似。因此,必须纠正一个更基本的模型,该模型应该基于服务器/子网的整体性能,而不检查每个流量。基于这种观察,我们提出了一个新的系统框架,称为恶意用户检测(DMU),它试图解决各种攻击类型。在DMU的激励下,我们提出了一种新的理论模型——尺寸约束群测试(SCGT)。针对不同的组网场景,提出了几种基于SCGT的算法。我们还提供了几个关于SCGT的基本结果,揭示了获得O(1)检测时间算法的一些必要条件。
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On Detection of Malicious Users Using Group Testing Techniques
Despite decades of research, there have not been developed concrete defense solutions for most of current attacks to Internet services, let alone new attack types. An essential problem to overcome is that malicious traffic can be similar to legitimate ones. Thus a more fundamental model which should be based on the overall performance of servers/subnets without inspecting each traffic must be remedied. Based on this observation, we propose a novel system framework, called detection of malicious users (DMU) which attempts to solve various attack types. Motivated by DMU, we introduce a new theoretical model, called size constraint group testing (SCGT). Several algorithms based on SCGT for various networking scenarios are proposed. We also provide several fundamental results on SCGT, revealing some necessary conditions to obtain an O(1) detection time algorithm.
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