Attack-resistant wireless localization using an inclusive disjunction model

Shih Hau Fang*, Chung Chih Chuang, Chiapin Wang

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

27 引文 斯高帕斯(Scopus)

摘要

Wireless positioning is vulnerable to malicious attacks due to the nature of its open medium. This study proposes an attack-resistant fingerprinting localization algorithm based on a probabilistic inclusive disjunction model. This model allows an attacked observation to play a less significant role during the localization process, thus achieving more robust location estimations under security threats. This study included experiments conducted in an actual Wi-Fi network. Experimental results demonstrated that this approach apparently achieves more robust estimation than cluster-based, median-based, and sensor-selection methods under various attacks on RSS.

原文英語
文章編號6184246
頁(從 - 到)1209-1214
頁數6
期刊IEEE Transactions on Communications
60
發行號5
DOIs
出版狀態已發佈 - 2012 5月

ASJC Scopus subject areas

  • 電氣與電子工程

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