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The defense against the Primary User Emulation Attack (PUE) is studied in the scenario of unknown channel statistics (coined blind dogfight in spectrum). The algorithm of the adversarial bandit problem is adapted to the context of blind dogfight. Both cases of complete and partial information about the rewards of different channels are analyzed. Performance bounds are obtained subject to arbitrary...
The existing research on security issues in cognitive radio networks mainly focuses on attack and defense in individual network layers. However, the attackers do not necessarily restrict themselves within the boundaries of network layers. In this paper, we design cross-layer attack strategies that can largely increase the attackers' power or reducing their risk of being detected. As a case study,...
Primary user emulation (PUE) attack is a serious threat to cognitive radio systems. A passive anti-PUE approach, similar to the random frequency hopping in traditional anti-jamming schemes, is proposed. The defenders randomly choose channels to sense and avoid the PUE attack while the strategy of the attacker is arbitrary. Channel statistics like availability probabilities are assumed unknown to both...
Secondary users in cognitive radio networks need to learn the statistics of spectrum in order to achieve efficient communications. Due to the spatial correlation, the efficiency of learning is improved by letting secondary users collaborate and exchange information. Due to the similarity between the collaborative learning in cognitive radio networks and the recommendation systems of electronic commerce...
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