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Reseach Article

Enhancing Detection Rate by using Distributed Reaction Mechanisms in Cognitive Radio Ad-Hoc Networks

by Sneha Thankachan, M. Jebakumari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 17
Year of Publication: 2014
Authors: Sneha Thankachan, M. Jebakumari
10.5120/15725-4655

Sneha Thankachan, M. Jebakumari . Enhancing Detection Rate by using Distributed Reaction Mechanisms in Cognitive Radio Ad-Hoc Networks. International Journal of Computer Applications. 89, 17 ( March 2014), 35-37. DOI=10.5120/15725-4655

@article{ 10.5120/15725-4655,
author = { Sneha Thankachan, M. Jebakumari },
title = { Enhancing Detection Rate by using Distributed Reaction Mechanisms in Cognitive Radio Ad-Hoc Networks },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 17 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number17/15725-4655/ },
doi = { 10.5120/15725-4655 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:31.501644+05:30
%A Sneha Thankachan
%A M. Jebakumari
%T Enhancing Detection Rate by using Distributed Reaction Mechanisms in Cognitive Radio Ad-Hoc Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 17
%P 35-37
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cognitive radio (CR) is a promising technology in ad-hoc networks to solve the problems that result from the limited available spectrum and the inefficiency in the spectrum usage by utilizing the existing wireless spectrum advantageously. When the licensed primary user is not using the spectrum, the available channels are allocated for the unlicensed secondary users. An increasing numbers of security threats are being identified when the idea of cognitive radio becomes reality. One such threat is the possible presence of selfish secondary users who try to occupy all available channels. In this paper, an efficient selfish attack detection technique called Distributed Reaction Mechanism is introduced and implemented which results in enhanced detection rate.

References
  1. Ian F. Akyildiz, Won- Yeol Lee, Kaushik R. ChowdhuryBroadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, "Cognitive radio ad hoc networks".
  2. X. Tan and H. Zhang, "A CORDIC-Jacobi Based Spectrum Sensing Algorithm for Cognitive Radio,"KSII Trans. Internet and Info. Systems, vol. 6, no. 9, Sept. 2012, pp. 1998-2016.
  3. Z. Gao et al. , "Security and Privacy of Collaborative Spectrum Sensing in Cognitive Radio Networks," IEEE Wireless Commun. vol. 19, no. 6, 2012, pp. 106-12.
  4. Minho Jo, Longzhe Han, Dohoon Kim, and Hoh Peter In, Korea University, "Selfish attacks and Detection in Cognitive Radio Ad-hoc Networks".
  5. R. Chen, J. -M. Park, and J. H. Reed, "Defense against Primary User Emulation Attacks in Cognitive Radio Networks," IEEE JSAC, vol. 26, no. 1, Jan. 2008, pp. 25-36.
  6. M. Yan et al. , "Game-Theoretic Approach against Selfish Attacks in Cognitive Radio Networks," IEEE/ACIS 10thInt'l. Conf. Computerand Information Science (ICIS), May 2011, pp. 58-61.
  7. K. Cheng Howa, M. Maa, and Y. Qin, "An Altruistic Differentiated Service Protocol in Dynamic Cognitive Radio Networks Against Selfish Behaviours," Computer Networks, vol. 56, no. 7, 2012, pp. 2068-79.
  8. C. -H. Chin, J. G. Kim, and D. Lee, "Stability of Slotted Aloha with Selfish Users under Delay Constraint," KSII Trans. Internet and Info. Systems, vol. 5, no. 3, Mar. 2011, pp. 542-59.
  9. S. Li et al. , "Location Privacy Preservation in Collaborative Spectrum Sensing," IEEE INFOCOM'12, 2012, pp. 729-37.
  10. Z. Dai, J. Liu, and K. Long, "Cooperative Relaying with Interference Cancellation for Secondary Spectrum Access," KSII Trans. Internet and Information Systems, vol6, no. 10, Oct. 2012,pp. 2455-72.
  11. H. Hu et al. , "Optimal Strategies for Cooperative Spectrum Sensing in Multiple Cross-over Cognitive Radio Networks,"KSIITrans. Internet and Info. Systems, vol. 6, no. 12, Dec. 2012, pp. 3061-80.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio selfish attacks detection rate