{"title":"A Novel Strategy under Charger Capture Attack in Wireless Rechargeable Sensor Networks","authors":"Nan Yu, Xiaoyu Wang, Haipeng Dai, Guihai Chen","doi":"10.1109/DCOSS49796.2020.00063","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the problem of designing a novel ATTack scheme under charger cApture attaCK(ATTACK) in wireless rechargeable sensor networks. That is, there are a number of wireless chargers with directional antenna and rechargeable directional devices deployed in the 2D plane. An intelligent adversary selects a limited number of chargers to be captured and adjust the compromised chargers’ power factor such that the overall attacking utility of devices is maximized. To solve our ATTACK problem, we investigate an attacking algorithm with a constant approximation ratio with lightweight timing complexity. We conduct simulation experiments to verify the performance of our proposed attacking algorithm. The results shows that our proposed attacking algorithm can outperform the comparison algorithm by 69.95%.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCOSS49796.2020.00063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we consider the problem of designing a novel ATTack scheme under charger cApture attaCK(ATTACK) in wireless rechargeable sensor networks. That is, there are a number of wireless chargers with directional antenna and rechargeable directional devices deployed in the 2D plane. An intelligent adversary selects a limited number of chargers to be captured and adjust the compromised chargers’ power factor such that the overall attacking utility of devices is maximized. To solve our ATTACK problem, we investigate an attacking algorithm with a constant approximation ratio with lightweight timing complexity. We conduct simulation experiments to verify the performance of our proposed attacking algorithm. The results shows that our proposed attacking algorithm can outperform the comparison algorithm by 69.95%.