Order statistics and recursive updating with aging factor for cooperative cognitive radio networks under SSDF attacks
Seungwon Lee,
Yalei Zhang,
Seokho Yoon,
Iickho Song
Affiliations
Seungwon Lee
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehag Ro, Yuseong Gu, Daejeon 34141, Republic of Korea
Yalei Zhang
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehag Ro, Yuseong Gu, Daejeon 34141, Republic of Korea
Seokho Yoon
College of Information and Communication Engineering, Sungkyunkwan University, 2066 Seobu Ro, Jangan Gu, Suwon 16419, Republic of Korea
Iickho Song
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehag Ro, Yuseong Gu, Daejeon 34141, Republic of Korea; Liangjiang International College, Chongqing University of Technology, 459 Pufu Avenue, Longxing Town, Yubei District, Chongqing 401135, China; Corresponding author at: School of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehag Ro, Yuseong Gu, Daejeon 34141, Republic of Korea.
For detecting the presence of the primary user under malicious attacks in cooperative cognitive radio networks, we propose a detection scheme based on the order statistics and recursive updating algorithm with aging factor. The aging factor not only makes the detector sensitive to the change in the behavior of secondary users but also allows reduction in the storage space. The order statistics help select secondary users with higher degree of reputation for cooperation, and consequently, reduce the influence of malicious users. Computer simulations show the proposed scheme can defend the network against malicious attacks more effectively than the conventional scheme. Keywords: Aging factor, Cooperative spectrum sensing, Order statistics, Recursive updating algorithm
