Association for Computing Machinery
Jamming attacks can severely affect the performance of wireless networks due to the broadcast nature. The most reliable solution to reduce the impact of such attacks is to detect and localize the jammer. In this paper, the authors propose their research into participatory sensing based scheme, named as CrowdLoc, for the collection of measurements to collaboratively localize a jammer in wireless ubiquitous environments which are suffering from jamming attacks. Based on the crowdsourcing measurements of the jammer, they propose a novel localization scheme to estimate the position of the jammer: Range-based Jammer Localization (RJL). As opposed to existing solutions, RJL is independent of the propagation parameters, which are difficult to obtain in hostile jamming circumstance.