Performance of p-Norm Detector in Cognitive Radio Networks with Cooperative Spectrum Sensing in Presence of Malicious Users
Joint Authors
Lavanis, Nandita
Jalihal, Devendra
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
A cognitive radio network (CRN) with a cooperative spectrum sensing scheme is considered.
This CRN has a primary user and multiple secondary users, some of which are malicious secondary users (MSUs).
Energy detection at each SU is performed using a p-norm detector with p≥2, where p=2 corresponds to the standard energy detector.
The MSUs are capable of perpetrating spectrum sensing data falsification (SSDF) attacks.
At the fusion center (FC), an algorithm is used to suppress these MSUs which could be either an adaptive weighing algorithm or one of the following: Tietjen-Moore (TM) test or Peirce’s criterion.
This is followed by computation of a test statistic (TS) which is a random variable.
In this paper, we assume TS to have either a Gamma or a Gaussian distribution and calculate the threshold accordingly.
We provide closed-form expressions of probability of false alarm and probability of miss-detection under both assumptions.
We show that Gaussian assumption of TS is more suited in presence of an SSDF attack when compared with the Gamma assumption.
We also compare the detection performance for various values of p and show that p=3 along with the Gaussian assumption is the best amongst all the cases considered.
American Psychological Association (APA)
Lavanis, Nandita& Jalihal, Devendra. 2017. Performance of p-Norm Detector in Cognitive Radio Networks with Cooperative Spectrum Sensing in Presence of Malicious Users. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1205868
Modern Language Association (MLA)
Lavanis, Nandita& Jalihal, Devendra. Performance of p-Norm Detector in Cognitive Radio Networks with Cooperative Spectrum Sensing in Presence of Malicious Users. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1205868
American Medical Association (AMA)
Lavanis, Nandita& Jalihal, Devendra. Performance of p-Norm Detector in Cognitive Radio Networks with Cooperative Spectrum Sensing in Presence of Malicious Users. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1205868
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205868