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A Replica Detection Scheme Based on the Deviation in Distance Traveled Sliding Window for Wireless Sensor Networks

机译:基于距离行进滑动窗口偏差的无线传感器网络副本检测方案

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Node replication attack possesses a high level of threat in wireless sensor networks (WSNs) and it is severe when the sensors are mobile. A limited number of replica detection schemes in mobile WSNs (MWSNs) have been reported till date, where most of them are centralized in nature. The centralized detection schemes use time-location claims and the base station (BS) is solely responsible for detecting replica. Therefore, these schemes are prone to single point of failure. There is also additional communication overhead associated with sending time-location claims to the BS. A distributed detection mechanism is always a preferred solution to the above kind of problems due to significantly lower communication overhead than their counterparts. In this paper, we propose a distributed replica detection scheme for MWSNs. In this scheme, the deviation in the distance traveled by a node and its replica is recorded by the observer nodes. Every node is an observer node for some nodes in the network. Observers are responsible for maintaining a sliding window of recent time-distance broadcast of the nodes. A replica is detected by an observer based on the degree of violation computed from the deviations recorded using the time-distance sliding window. The analysis and simulation results show that the proposed scheme is able to achieve higher detection probability compared to distributed replica detection schemes such as Efficient Distributed Detection (EDD) and Multi-Time-Location Storage and Diffusion (MTLSD).
机译:节点复制攻击在无线传感器网络(WSN)中具有高度威胁,当传感器处于移动状态时,攻击很严重。迄今为止,已经报道了移动WSN(MWSN)中数量有限的副本检测方案,其中大多数方案本质上是集中的。集中式检测方案使用时间声明,而基站(BS)仅负责检测副本。因此,这些方案很容易出现单点故障。还存在与向BS发送时间位置声明相关的额外通信开销。分布式检测机制始终是解决上述问题的首选解决方案,因为其通信开销明显低于同类问题。在本文中,我们提出了一种针对MWSN的分布式副本检测方案。在该方案中,观察者节点记录节点及其副本的行进距离的偏差。每个节点都是网络中某些节点的观察者节点。观察者负责维护节点最近时空广播的滑动窗口。观察者根据根据使用时距滑动窗口记录的偏差计算出的违背程度来检测副本。分析和仿真结果表明,与诸如高效分布式检测(EDD)和多时间位置存储与扩散(MTLSD)的分布式副本检测方案相比,该方案能够实现更高的检测概率。

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