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A Granulometric Size Distribution based intrusion detection method for WSN

机译:基于WSN的粒度尺寸分布的入侵检测方法

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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:无线传感器网络(WSNS)中的安全问题长期以来一直是过去十年的广泛研究的主题。数据加密和身份验证是解决WSN中安全问题的最常用方法。然而,这些努力在检测不同的恶意攻击方面是无效的,特别是在入侵检测中。相对轻地,已经支付了在普通的WSN拓扑中检测侵入性节点来支付很少的注意。因此,在本文中,我们推出了一种称为GSD方法的创新方法,用于检测WSN中的恶意攻击,例如入侵检测。在此方法中,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方面的有效性。

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