Modeling an Intrusion Detection System Based on Adaptive Immunology
Modeling an Intrusion Detection System Based on Adaptive Immunology
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DOI：
10.4018/ijitn.2019040104
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发表时间：
2019-04
期刊：
影响因子：
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通讯作者：
V. Alaparthy;S. Morgera
中科院分区：
文献类型：
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作者：
V. Alaparthy;S. Morgera
网络安全一直是一个优先和广泛研究的领域。近年来，受生物学启发的技术的实验有了相当大的增长。这是作者增加了对生命系统的理解并将这种理解应用于机器和软件的结果。电信网络不断增加的复杂性和对提高安全级别的需求是驱动因素。人体由于其多样化的复杂性而具有保护自身免受外部实体侵害的独特能力，因此可以成为一个伟大的榜样。人体的许多异常现象与无线传感器网络（WSN）中的攻击相似。本文介绍的基本思想可以帮助系统建模，通过监控能量、数据传输频率、发送和接收的数据等参数来对抗 WSN 攻击。这是通过利用称为危险理论的免疫概念来实现的，该概念根据异常参数的权重聚合异常。目标是设计一种基于危险理论的协作入侵检测系统（IDS）。
Network security has always has been an area of priority and extensive research. Recent years have seen a considerable growth in experimenting with biologically inspired techniques. This is a consequence of the authors increased understanding of living systems and the application of that understanding to machines and software. The mounting complexity of telecommunications networks and the need for increasing levels of security have been the driving factors. The human body can act as a great role model for its unique abilities in protecting itself from external entities owing to its diverse complexities. Many abnormalities in the human body are similar to that of the attacks in wireless sensor networks (WSN). This article presents the basic ideas that can help modelling a system to counter the attacks on a WSN by monitoring parameters such as energy, frequency of data transfer, data sent and received. This is implemented by exploiting an immune concept called danger theory, which aggregates the anomalies based on the weights of the anomalous parameters. The objective is to design a cooperative intrusion detection system (IDS) based on danger theory.