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Design and implementation of artificial immune system for detecting flooding attacks

机译:用于检测洪泛攻击的人工免疫系统的设计与实现

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The network based denial of service attacks (DoS) are still the big challenge to the researchers in the field of network security. This paper handles the popular DoS attack called TCP-SYN flood attack, and presents the design and implementation of an Artificial Immune system for Syn flood Detection, abbreviated by AISD, based on the Dendritic Cell Algorithm (DCA). The AISD system is able to detect the generated SYN flood attack and response to its generator in a real-time. Performance and accuracy of the system have been evaluated through five experiments. Results of the experiments showed the precision of intrusion detection process to the ratio of 100%, with a notable response speed, and this is shows the benefit and suitability of using artificial immune systems to the network security problems.
机译:基于网络的拒绝服务攻击(DoS)仍然是网络安全领域研究人员面临的巨大挑战。本文处理称为TCP-SYN泛洪攻击的流行DoS攻击,并提出了基于树突细胞算法(DCA)的AISD缩写的人工免疫系统,用于Syn泛洪检测。 AISD系统能够实时检测生成的SYN泛洪攻击并对其生成器做出响应。该系统的性能和准确性已通过五个实验进行了评估。实验结果表明,入侵检测过程的准确率达到100%,响应速度显着,这表明使用人工免疫系统解决网络安全问题的好处和适用性。

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