作者
Saud Althunibat, Angelos Antonopoulos, Elli Kartsakli, Fabrizio Granelli, Christos Verikoukis
发表日期
2016/9/7
期刊
IEEE Sensors Journal
卷号
16
期号
23
页码范围
8627-8639
出版商
IEEE
简介
Target detection wireless sensor networks (WSNs), where binary decisions are transmitted to declare the presence or absence of a given target, are expected to have a fundamental role in the Internet of Things era. However, their simplicity makes these networks very susceptible to malicious attacks, while the problem is aggravated in the presence of intelligent malicious nodes that adapt their strategy depending on the behavior of other nodes in the network. In this paper, first, we analytically demonstrate that dependent and independent malicious nodes have the same impact on the overall performance of target detection WSNs in terms of detection and false alarm rates. Then, taking into account that dependent malicious users cannot be detected by conventional algorithms, we introduce an effective algorithm that detects malicious nodes in the network regardless of their type and number. Finally, theoretical and …
学术搜索中的文章
S Althunibat, A Antonopoulos, E Kartsakli, F Granelli… - IEEE Sensors Journal, 2016