Online Learning With Randomized Feedback Graphs for Optimal PUE Attacks in Cognitive Radio Networks.

In a cognitive radio network, a secondary user learns the spectrum environment and dynamically accesses the channel, where the primary user is inactive. At the same time, a primary user emulation (PUE) attacker can send falsified primary user signals and prevent the secondary user from utilizing the available channel. The best attacking strategies that an attacker can apply have not been well stud...