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A hybrid intrusion detection architecture for Internet of things

机译：物联网的混合入侵检测架构

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摘要

In computer networks, Internet of things (IoT) is an emerging paradigm wherein smart and resource-constrained objects can connect to Internet by using a wide range of technologies. Due to the insecure nature of Internet and also wireless sensor networks (WSNs), which are the main components of IoT, implementing security mechanisms in IoT seems necessary. To deal with intrusions which may occur in IoT, a novel intrusion detection architecture model for IoT is proposed in this paper. This model is based on MapReduce approach with the aim of distributed detection. To provide multi-faceted detection (from the Internet and WSNs sides), the proposed model consists of anomaly-based and misuse-based intrusion detection agents that use supervised and unsupervised optimum-path forest model for intrusion detection. The experimental results of simulated scenarios show the superior performance of proposed method in intrusion detection for IoT.
机译：在计算机网络中，物联网（IoT）是新兴的范例，其中智能和受资源限制的对象可以使用多种技术连接到Internet。由于物联网的主要组成部分互联网以及无线传感器网络（WSN）的不安全特性，在物联网中实施安全机制似乎是必要的。为了应对物联网中可能发生的入侵，本文提出了一种新的物联网入侵检测架构模型。该模型基于MapReduce方法，旨在实现分布式检测。为了提供多方面的检测（从Internet和WSN方面），建议的模型由基于异常和基于滥用的入侵检测代理组成，这些代理使用受监督和无监督的最优路径森林模型进行入侵检测。仿真场景的实验结果表明了该方法在物联网入侵检测中的优越性能。

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