基于光伏电站的无线传感网络恶意节点识别与隔离研究

Study on WSN malicious nodes identification and isolation for PV power plant

信息型光伏电站中的节点由于暴露在外面,容易被外界俘获成为恶意节点,从而导致信息泄露。如何将恶意节点的有效特征提取出来并加以识别与隔离,是一个需要被重视的问题。根据搭建信息型光伏电站的项目经验及前人的研究基础,提出了一种基于Ada Boosting算法的恶意节点识别与割离的方法。对算法的仿真结果表明,当迭代次数越多时,误测率越低,检测出恶意节点的精度也越高。

The exposed information nodes of PV power plant are easy to be trapped as the malicious nodes by the outside world,which leads to the information disclosure. How to effectively extract the characteristics of malicious nodes for identification and isolation is an important issue. On the basis of the project experience and previous research of the established information PV power plant,a new method based on Ada Boosting algorithm to identify and isolate the malicious nodes is proposed. The simulation results of the algorithm show that the misdetection rate is low and the accuracy of malicious nodes detection is high with the increase of iterations.