Intrusion detection model of wireless sensor networks based on game theory and an autoregressive model

An effective security strategy for Wireless Sensor Networks (WSNs) is imperative to counteract security threats. Meanwhile, energy consumption directly affects the network lifetime of a wireless sensor. Thus, an attempt to exploit a low-consumption Intrusion Detection System (IDS) to detect maliciou...

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Bibliographic Details
Published in:	Information sciences Vol. 476; pp. 491 - 504
Main Authors:	Han, Lansheng, Zhou, Man, Jia, Wenjing, Dalil, Zakaria, Xu, Xingbo
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01-02-2019
Subjects:	Energy consumption Intrusion detection system Optimal defense strategy Wireless sensor network Wireless sensor network Energy consumption Optimal defense strategy Intrusion detection system
Online Access:	Get full text
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Summary:	An effective security strategy for Wireless Sensor Networks (WSNs) is imperative to counteract security threats. Meanwhile, energy consumption directly affects the network lifetime of a wireless sensor. Thus, an attempt to exploit a low-consumption Intrusion Detection System (IDS) to detect malicious attacks makes a lot of sense. Existing Intrusion Detection Systems can only detect specific attacks and their network lifetime is short due to their high energy consumption. For the purpose of reducing energy consumption and ensuring high efficiency, this paper proposes an intrusion detection model based on game theory and an autoregressive model. The paper not only improves the autoregressive theory model into a non-cooperative, complete-information, static game model, but also predicts attack pattern reliably. The proposed approach improves on previous approaches in two main ways: (1) it takes energy consumption of the intrusion detection process into account, and (2) it obtains the optimal defense strategy that balances the system’s detection efficiency and energy consumption by analyzing the model’s mixed Nash equilibrium solution. In the simulation experiment, the running time of the process is regarded as the main indicator of energy consumption of the system. The simulation results show that our proposed IDS not only effectively predicts the attack time and the next targeted cluster based on the game theory, but also reduces energy consumption.
ISSN:	0020-0255 1872-6291
DOI:	10.1016/j.ins.2018.06.017