The feasibility of launching and detecting jamming attacks in wireless networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Wormhole-Based Antijamming Techniques in Sensor Networks
IEEE Transactions on Mobile Computing
Channel surfing: defending wireless sensor networks from interference
Proceedings of the 6th international conference on Information processing in sensor networks
Anti-jamming timing channels for wireless networks
WiSec '08 Proceedings of the first ACM conference on Wireless network security
Jamming-resistant Key Establishment using Uncoordinated Frequency Hopping
SP '08 Proceedings of the 2008 IEEE Symposium on Security and Privacy
Localizing jammers in wireless networks
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Randomized differential DSSS: jamming-resistant wireless broadcast communication
INFOCOM'10 Proceedings of the 29th conference on Information communications
Indoor localization without the pain
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Exploiting Jamming-Caused Neighbor Changes for Jammer Localization
IEEE Transactions on Parallel and Distributed Systems
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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, we propose our 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. CrowdLoc mainly contains three phases: 1) Crowds as Sensor. The sensor nodes at the boundary of jammer region are weakly impacted by the jamming attack, and conduct the sensing functions to record the information related to the jammer, such as received signal strength (RSS); 2) Crowds as Network. These boundary nodes cooperate with each other to share the recorded measurements of the jammer; and 3) Crowds as Estimator. Based on the crowdsourcing measurements of the jammer, we 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. The experimental results indicate that the localization accuracy of RJL is close to the Cramer-Rao Bound (CRB) for the RSS-based Localization in most area.