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A Granulometric Size Distribution based intrusion detection method for WSN

机译:基于粒度分布的无线传感器网络入侵检测方法

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Security issue in Wireless Sensor Networks (WSNs) has long been the topic of extensive research in the last decade. Data encryption and authentication are the most common methods to address the security issues in WSN. However, these efforts are ineffective in detecting the diverse malicious attacks, especially in intrusion detection. Comparatively, very few attentions have been paid for detecting intrusive nodes in a common WSN topology. Therefore, in this paper we derive an innovative method called GSD method for detecting malicious attack in WSNs, such as intrusion detection. Link Quality Indicator (LQI) data of each node are utilized as the network parameters in this method. The simulation results show their effectiveness in intrusion detection.
机译:在过去的十年中,无线传感器网络(WSN)的安全问题一直是广泛研究的话题。数据加密和身份验证是解决WSN中安全问题的最常用方法。但是,这些努力在检测各种恶意攻击方面尤其是在入侵检测方面无效。相比之下,在普通的WSN拓扑中检测入侵节点的注意力很少。因此,在本文中,我们推导了一种创新的方法,称为GSD方法,用于检测WSN中的恶意攻击,例如入侵检测。该方法将每个节点的链路质量指示符(LQI)数据用作网络参数。仿真结果表明了它们在入侵检测中的有效性。

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