{"title":"Wi-Fi intruder detection","authors":"Rui Fernandes, J. N. Matos, T. Varum, P. Pinho","doi":"10.1109/ICWISE.2014.7042668","DOIUrl":null,"url":null,"abstract":"Nowadays, people are always concerned about security, not only about their own but also of their goods. Trying to solve this problem, this system presents itself as a convenient and interesting low-cost solution for intruder detection. Based on only Wi-Fi routers and laptops, widely spread infrastructures, we proposed an innovative alternative, capable of detecting intruders by sensing the different electromagnetic perturbation caused. These interference are sensed by the system through the changes in the acquired Wi-Fi Received Signal Strength Indicator (RSSI) data, trigged by the presence of obstacles/targets between the transmitter and receiver. Additionally, to enhance the detection capacity of the system, was evaluated the usage of Wavelet coefficient analysis of the RSSI results.","PeriodicalId":202159,"journal":{"name":"2014 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Conference on Wireless Sensors (ICWiSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWISE.2014.7042668","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Nowadays, people are always concerned about security, not only about their own but also of their goods. Trying to solve this problem, this system presents itself as a convenient and interesting low-cost solution for intruder detection. Based on only Wi-Fi routers and laptops, widely spread infrastructures, we proposed an innovative alternative, capable of detecting intruders by sensing the different electromagnetic perturbation caused. These interference are sensed by the system through the changes in the acquired Wi-Fi Received Signal Strength Indicator (RSSI) data, trigged by the presence of obstacles/targets between the transmitter and receiver. Additionally, to enhance the detection capacity of the system, was evaluated the usage of Wavelet coefficient analysis of the RSSI results.
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