A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks
Joint Authors
Koo, Insoo
Khan, Muhammad Sajjad
Jibran, Muhammad
Kim, Su Min
Kim, Junsu
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Khan, Muhammad Sajjad& Jibran, Muhammad& Koo, Insoo& Kim, Su Min& Kim, Junsu. 2019. A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1212028
Modern Language Association (MLA)
Khan, Muhammad Sajjad…[et al.]. A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1212028
American Medical Association (AMA)
Khan, Muhammad Sajjad& Jibran, Muhammad& Koo, Insoo& Kim, Su Min& Kim, Junsu. A Double Adaptive Approach to Tackle Malicious Users in Cognitive Radio Networks. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1212028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212028