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Detection algorithm of sinkhole attack in software-defined wireless sensor cognitive radio networks

机译:软件定义的无线传感器认知无线电网络中陷阱攻击检测算法

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Software-Defined Wireless Sensor Cognitive Radio Networks (SD-WSCRNs) are sensor networks that consist of sensor nodes and a base station where all sensed data is forwarded to. The network can be remotely reconfigured after deployment. The network is agile and adaptive to topological changes. It is also programmable which enables the network to be easily managed. To address spectrum challenges, the sensor nodes are equipped with cognitive radios. However, the SD-WSCRNs are vulnerable to security attacks such as the sinkhole, Sybil, and the jamming attacks. The sinkhole attack can be used to launch other attacks such as the selective forwarding, wormhole, and the jamming attacks. An attacker can compromise a node closer to the base station or insert a node in the network which can be used to launch an attack. This paper presents theoretical analysis of sinkhole attack mitigation scheme in SD-WSCRNs.
机译:软件定义的无线传感器认知无线电网络(SD-WSCRN)是传感器网络,该传感器网络由传感器节点和基站组成,其中所有感测数据被转发到。可以在部署后远程重新配置网络。网络是敏捷,适应拓扑变化。它也是可编程的,它可以轻松管理网络。为了解决频谱挑战,传感器节点配备有认知收音机。但是,SD-WSCRNS容易受到诸如污水,SYBIL和干扰攻击之类的安全攻击。污水攻击可用于发射其他攻击,例如选择性转发,虫洞和干扰攻击。攻击者可以危及靠近基站的节点或在网络中插入节点,该节点可用于启动攻击。本文介绍了SD-WSCRNS中污水攻击缓解方案的理论分析。

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