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Simulation Modeling of Network Intrusion Detection Based on Artificial Immune System

机译:基于人工免疫系统的网络入侵检测仿真建模

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摘要

There is much comparability between natural immune system and computer security, and the key point is how to distinguish self from other. Based on the principles and structures of artificial immune system, the simulation modeling of network intrusion detection was developed. The model consisted of many nodes that distributed across different locations. The nodes needed not be centralized controlled. The purpose of model was to distinguish between illegitimate behavior (non-self) and legitimate behavior (self). In case of finding abnormity, model could give an alarm to user.
机译:自然免疫系统与计算机安全之间有很大的可比性,关键点是如何将自我与其他人区分开来。基于人工免疫系统的原理和结构,开发了网络入侵检测的仿真建模。该模型包括许多分布在不同位置的节点。不需要集中控制所需的节点。模型的目的是区分非法行为(非自我)和合法行为(自我)。在发现异常的情况下,模型可以向用户发出警报。

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