基于SIR模型的智能电网WCSN数据伪造攻击研究

为了解决智能电网无线传感器网络面临的异构无线网络共存、频谱资源紧张和海量数据处理等问题,在智能电网引入了认知无线传感器网络（WCSN）。文章对智能电网WCSN中的数据伪造攻击进行了研究。在此类攻击中,恶意认知无线传感器节点（传染节点）通过向其他认知无线传感器节点（易感节点）发送伪造的频谱感知数据和设备能耗信息,导致控制中心做出错误的频谱分配和电力调度决策。采用流行病理论中的SIR模型,对智能电网WCSN中的数据伪造攻击信息传播过程进行了建模,研究了流行病爆发的潜在决定因素。最后,通过仿真验证了智能电网WCSN数据伪造攻击SIR模型,并对系统动态特性进行了分析。

Research on the SIR-Model-based Data Falsification Attacks of Wireless Cognitive Sensor Networks in Smart Grids

In order to solve the issues such as heterogeneous coexistence,spectrum scarcity,tremendous data processing and security guarantees,we introduce Wireless Cognitive Sensor Network（WCSN） into the smart grids.In this paper,we study the data falsification attacks to WCSN in smart grids,where intruders send false local spectrum sensing results and power consumption information resulting in incorrect spectrum allocation and power dispatching decisions by control centers.Based on the SIR model in epidemic theory,we model and analyze the information spreading process in data falsification attacks and identify key factors determining potential epidemic outbreaks in smart grids.In conclusion,through extensive simulations,we validate the feasibility of SIR model and perform investigations on the system dynamics.