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An outlier detection scheme for wireless sensor networks

机译:无线传感器网络的异常值检测方案

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Securing wireless sensor network is drawing a lot of attention of researchers with detecting outliers being a major concern. Outlier is referred to as deviated behavior from normal pattern of the network elements caused by noise, events or attacks. Outlier detection is crucial for normal functioning of the network and forms the first step towards security management. By taking suitable actions or by thwarting the erroneous behavior outliers can be managed. Events occur when there is a change in the state of the networks and is expected behavior in the network, whereas attacks are unexpected behavior in network causing difficult situation in the network. Event detection and attack detection are many a times mistook as same. Event detection is followed by suitable actions to handle the event whereas attack detection should be followed by counter measures to subdue the situation. In this paper, we propose an outlier detection scheme (ODS) for detecting events and attacks in the wireless sensor network. We evaluate the efficiency of scheme through simulations.
机译:保护无线传感器网络正在引起研究人员的广泛关注,检测异常值是一个主要问题。离群值是指由噪声,事件或攻击引起的与网络元素正常模式的偏离行为。离群检测对于网络的正常运行至关重要,并构成了迈向安全管理的第一步。通过采取适当的措施或阻止错误的行为,可以管理异常值。当网络状态发生变化并且网络中存在预期的行为时,就会发生事件,而攻击是网络中的意外行为,从而导致网络出现困难情况。事件检测和攻击检测经常被误认为是相同的。在事件检测之后,将采取适当的措施来处理事件,而在攻击检测之后应采取应对措施,以制止这种情况。在本文中,我们提出了一种用于检测无线传感器网络中的事件和攻击的异常值检测方案(ODS)。我们通过仿真评估方案的效率。

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