An Error Minimizing Framework for Localizing Jammers in Wireless Networks
Jammers can severely disrupt the communications in wireless networks, and jammers' position information allows the defender to actively eliminate the jamming attacks. Thus, in this paper, the authors aim to design a framework that can localize one or multiple jammers with a high accuracy. Most of existing jammer-localization schemes utilize indirect measurements (e.g., hearing ranges) affected by jamming attacks, which makes it difficult to localize jammers accurately. Instead, they exploit a direct measurement - the strength of Jamming Signal Strength (JSS). Estimating JSS is challenging as jamming signals may be embedded in other signals. As such, they devise an estimation scheme based on ambient noise floor and validate it with real-world experiments.