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Design of TCP SYN Flood DDoS attack detection using artificial immune systems

机译:用人工免疫系统设计TCP SYN泛频DDOS攻击检测

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摘要

TCP Flood DDoS attack is one of the most commonly-used attacks. DDoS has a huge impact on the victim because DDoS attack can multiply the power of attack and makes the victim server unavailable for the normal user. Recently, there are many types of research about DDoS attacks and the detection or mitigation techniques. One of the novel methods to detect DDoS is using dendritic cell algorithm (DCA). DCA is a kind of artificial immune system in the evolutionary algorithm that can be used as an anomaly detection. The DCA is also designed to solve the problem in network intrusion detection. In this paper tries to make a design of TCP Flood DDoS attack detection using artificial immune systems, especially dendritic cell algorithm.
机译:TCP洪水DDOS攻击是最常用的攻击之一。 DDOS对受害者产生了巨大影响,因为DDOS攻击可以乘以攻击的力量,并使受害者服务器无法为普通用户提供。最近,有许多关于DDOS攻击的研究以及检测或缓解技术。检测DDOS的一种新方法是使用树突细胞算法(DCA)。 DCA是一种在进化算法中的一种人工免疫系统,可用作异常检测。 DCA还旨在解决网络入侵检测中的问题。本文试图使用人工免疫系统,尤其是树突细胞算法设计TCP洪水DDOS攻击检测。

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