首页|A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks
A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Wiley-Hindawi
Cognitive radio (CR) is being considered as a vital technology to provide solution to spectrum scarcity in next generation network, by efficiently utilizing the vacant spectrum of the licensed users. Cooperative spectrum sensing in cognitive radio network has a promising performance compared to the individual sensing. However, the existence of the malicious users' attack highly degrades the performance of the cognitive radio networks by sending falsified data also known as spectrum sensing data falsification (SSDF) to the fusion center. In this paper, we propose a double adaptive thresholding technique in order to differentiate legitimate users from doubtful and malicious users. Prior to the double adaptive approach, the maximal ratio combining (MRC) scheme is utilized to assign weight to each user such that the legitimate users experience higher weights than the malicious users. Double adaptive threshold is applied to give a fair chance to the doubtful users to ensure their credibility. A doubtful user that fails the double adaptive threshold test is declared as a malicious user. The results of the legitimate users are combined at the fusion center by utilizing Dempster-Shafer (DS) evidence theory. Effectiveness of the proposed scheme is proved through simulations by comparing with the existing schemes.
Muhammad Sajjad Khan、Muhammad Jibran、Insoo Koo、Su Min Kim、Junsu Kim
展开 >
Department of Electrical Engineering, International Islamic University Islamabad
School of Electrical Engineering, University of Ulsan
Department of Electronic Engineering, Korea Polytechnic University
NSTL
Wiley-Hindawi
