NDLI: Three-layer Bayesian model based spectrum sensing to detect malicious attacks in cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Yongjia Huo Ying Wang Wenxuan Lin Ruijin Sun
Copyright Year	2015
Description	Author affiliation: State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China (Yongjia Huo; Ying Wang; Wenxuan Lin; Ruijin Sun)
Abstract	Owing to the open nature of cooperative cognitive radio networks (CRNs), security becomes a critical topic to consider. In order to acquire more spectrum resources, malicious secondary users (SUs) always launch various attacks. Among these attacks, spectrum sensing data falsification (SSDF) attack is a typical one. To cope with SSDF attacks, this paper proposes a three-layer Bayesian model. History data is processed through three layers, namely processing layer, integrating layer and inferring layer. Processing layer is modeled by hidden Markov model (HMM), which uses original data to train parameters and then provide trained emission distributions to the second layer. Within integrating layer, on the basis of different algorithms, emission distributions are processed to obtain the reputation values, balance values and specificity values of different SUs. By using different thresholds, these continuous values can be made discrete and then transferred to inferring layer. In the third layer, a Bayesian network (BN) is built to calculate the safety probabilities of SUs via using the discrete values as evidence. From simulation results, the proposed system is useful to defend against different types of malicious users, especially in low-SNR situations.
Starting Page	1640
Ending Page	1645
File Size	334185
Page Count	6
File Format	PDF
e-ISBN	9781467363051
DOI	10.1109/ICCW.2015.7247415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Bayes methods Sensors Safety Numerical models Cognitive radio Signal to noise ratio
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in