인지무선 네트워크 환경에서의 재밍 공격에 대한 향상된 FDCH 랑데부 알고리즘
Enhanced FDCH Rendezvous Algorithm under Jamming Attack in Cognitive Radio Networks
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초록
라디오 스펙트럼의 부족 현상에 대하여 무선인지 라디오 기술은 보조 사용자들에게 스펙트럼을 사용할수 있도록 허용함으로써 이 문제에 대한 적절한 대응방법으로 여겨지고 있다. 주 사용자들이 사용하지 않는 주파수를 찾아서 보조 사용자들이 사용할 수 있도록 하는 기술이다. 랑데부 알고리즘은 보조 사용자들이 인지무선 네트워크에서 서로 통신하기위해 같은 주파수채널에서 서로 만날수 있게 해주는 기술이다. 많은 연구자들이 이러한 랑데부 알고리즘을 제안하였으나 재밍 공격 상황을 고려한 연구는 거의 없다. 그리하여 본 논문에서 최근 제안된 랑데뷰 알고리즘들도 재밍 공격상황에서는 그 성능이 매우 취약하다는 것을 보이고 재밍 공격 상황에 좀 더 강인한 랑데부 알고리즘을 제안하고자 하였다.
Abstract
Cognitive radio is considered to be an adequate response to the scarcity of the radio spectrum by allowing the secondary user(SUs) to access the unused licensed spectrum. These radios analyze the available surrounding frequencies and determine which ones are best able to ensure quality transmission and reception without causing the legal primary users(PUs). The rendezvous process is considered as a necessary step for enabling SUs to communicate with each other in the cognitive radio networks(CRN). Many researchers focus only on the raw performance of rendezvous algorithms without ever considering the possibility of a jamming attack. Indeed, the problem of jamming within a network of cognitive radios is a subject still little discussed. Therefore, in this paper, we show that jamming attacks can significantly reduce the rendezvous performances even in the state of the art rendezvous algorithm. Then we propose a new rendezvous algorithm that can significantly enhance robustness under jamming attacks.
참고문헌 (10)
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