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Detection of DoS/DDoS Attack against HTTP Servers Using Naive Bayesian

机译:使用朴素贝叶斯算法检测对HTTP服务器的DoS / DDoS攻击

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With a growth of E-commerce and availability of resources over internet number of attacks on servers providing these services, resources are also increased. Denial of service and Distributed Denial of Service are most widely launched attacks against these servers for preventing legitimate users from accessing these services. This paper presents architecture of offline Signature based Network Intrusion Detection System for detection of Denial/Distributed Denial of Service attacks against HTTP servers using distributed processing and Naïve Bayesian classifier. Experimental results are provided to prove the efficiency of proposed architecture.
机译:随着电子商务的增长和Internet上资源的可用性,对提供这些服务的服务器的攻击数量也随之增加。拒绝服务和分布式拒绝服务是针对这些服务器发起的最广泛的攻击,用于阻止合法用户访问这些服务。本文提出了一种基于脱机签名的网络入侵检测系统的体系结构,该体系使用分布式处理和朴素贝叶斯分类器来检测针对HTTP服务器的拒绝/分布式拒绝服务攻击。实验结果提供了证明所提出的体系结构的效率。

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