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首页> 外文期刊>International Journal of Information and Communication Technology Research >An Intelligent Intrusion Detection System Based On Expectation Maximization Algorithm in Wireless Sensor Networks
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An Intelligent Intrusion Detection System Based On Expectation Maximization Algorithm in Wireless Sensor Networks

机译:无线传感器网络中基于期望最大化算法的智能入侵检测系统

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In recent years, wireless technology has enjoyed a tremendous rise in popularity and its usage opens new fields of applications. Due to their possible deployment in remote locations for civil, educational, scientific, military purposes and security which includes intrusion detection and intrusion prevention are of utmost importance.Thewireless sensor networks have problems on detecting and preventing malicious nodes which always bring destructive threats and compromise multiple sensor nodes. Therefore, sensor networks need to support an authentication service for sensor identity and message transmission. Furthermore, intrusion detection and prevention schemes are always integrated in sensor security appliances so that they can enhance network security by discovering malicious or compromised nodes. In this paper, we propose a protocol for intrusion detection in clustered wireless sensor networks (WSNs). Detection system is implemented based on expectation maximization algorithm. We implemented the system in network simulator "GloMoSim". Also we have rigorously evaluated the performance of our proposed solution by performing a variety of experiments and have found our solution approach to be promising.
机译:近年来,无线技术获得了极大的普及,其使用开辟了新的应用领域。由于它们可能部署在偏远地区用于民用,教育,科学,军事目的以及包括入侵检测和入侵防御在内的安全性,因此至关重要。无线传感器网络在检测和阻止恶意节点方面一直存在问题,这些恶意节点始终带来破坏性威胁并危害多种传感器节点。因此,传感器网络需要支持用于传感器身份和消息传输的身份验证服务。此外,入侵检测和防御方案始终集成在传感器安全设备中,因此它们可以通过发现恶意或受感染的节点来增强网络安全性。在本文中,我们提出了一种在群集无线传感器网络(WSN)中进行入侵检测的协议。基于期望最大化算法实现检测系统。我们在网络模拟器“ GloMoSim”中实现了该系统。我们还通过执行各种实验来严格评估了我们提出的解决方案的性能,并发现我们的解决方案很有希望。

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