Enhancing the Statistical Filtering Scheme to Detect False Negative Attacks in Sensor Networks

[摘要] In this paper, we present a technique that detects both false positive and false negative attacks in statistical filtering-based wireless sensor networks. In statistical filtering scheme, legitimate reports are repeatedly verified en route before they reach the base station, which causes heavy energy consumption. While the original statistical filtering scheme detects only false reports, our proposed method promises to detect both attacks. .

[学科分类] 电子与电气工程