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首页> 外文期刊>International journal of interdisciplinary telecommunications and networking >Modeling an Intrusion Detection System Based on Adaptive Immunology
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Modeling an Intrusion Detection System Based on Adaptive Immunology

机译：基于自适应免疫的入侵检测系统建模

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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.
机译：网络安全一直以来都是优先和广泛研究的领域。近年来，通过生物学启发的技术的试验有了长足的发展。这是作者对生命系统的了解增加以及这种了解在机器和软件中的应用的结果。电信网络的复杂性和对提高安全级别的需求已成为驱动因素。由于人体具有多种多样的复杂性，因此它在保护自身免受外部实体侵害方面的独特能力可以作为榜样。人体中的许多异常与无线传感器网络（WSN）中的攻击相似。本文介绍了一些基本思想，这些思想可以通过监视诸如能量，数据传输频率，数据发送和接收等参数来帮助对系统进行建模以应对WSN受到的攻击。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汇总异常。目的是设计基于危险理论的协作入侵检测系统（IDS）。

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