Falsified data filtering method for smart grid wireless communication based on SVM. Issue 4 (14th October 2020)

• Record Type: Journal Article
• Authors: Liu, Fen; Yu, Zheng; Wang, Yixi; Feng, Hao; Zha, Zhiyong; Liao, Rongtao; Zhang, Ying
• Is Part Of: International journal of internet protocol technology. Volume 13:Issue 4(2020)
• Page Start: 177
• Page End: 183
• Publication Date: 2020-10-14
• Subjects: smart grid -- wireless communication -- falsified data filtering method; File Transfer Protocol (Computer network protocol) -- Periodicals; Multicasting (Computer networks) -- Periodicals; 004.678
• Languages: English
• ISSNs: 1743-8209

Abstract

In order to solve the problems of long filter time, low filter efficiency and low utilisation rate of filtered information in traditional data filtering methods, a method of falsified data filtering in smart grid wireless communication based on SVM is proposed. In the initial stage of population search, chaos model is introduced to increase the diversity of individuals, adaptive factors are added into the updating mechanism to increase the global search capability, and falsified feature data is introduced into the fitness function to adjust the classification accuracy and the number of features by using penalty factors. At the later stage of iteration, with the classification accuracy as the objective function. The experimental results show that the filtering accuracy of the proposed method is as high as 99.89%, and the filter time is greatly reduced. The utilisation rate of the filtered information is about 90%, and the overall filter efficiency and accuracy are high.