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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的下沉攻击检测算法

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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)是由传感器节点和一个基站组成的传感器网络,所有感测到的数据都将转发到该基站。部署后可以远程重新配置网络。该网络是敏捷的,可以适应拓扑变化。它也是可编程的,使网络易于管理。为了应对频谱挑战,传感器节点配备了认知无线电。但是,SD-WSCRN容易受到诸如坑洞,Sybil和干扰攻击之类的安全攻击。 sinkhole攻击可用于发起其他攻击,例如选择性转发,虫洞和干扰攻击。攻击者可以破坏靠近基站的节点,或者在网络中插入可用于发起攻击的节点。本文提出了SD-WSCRNs中的防沉坑攻击缓解方案的理论分析。

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