Improved cooperative spectrum sensing under primary user emulation attacks in cognitive radio networks

  • Efe Francis Orumwense Centre for Radio Access & Rural Technologies (CRART) School of Electrical, Electronic & Computer Engineering University of KwaZulu-Natal King George Avenue Durban, South Africa 4001
  • Olutayo Oyerinde School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 2050, South Africa.
  • Stanley Henry Mneney Centre for Radio Access & Rural Technologies (CRART) School of Electrical, Electronic & Computer Engineering North Building University of KwaZulu-Natal King George Avenue Durban, South Africa 4001
Keywords: Ciommunications, Cognitive radio, Cognitive radio networks, Spectrum sensing, Energy detection, PUEA

Abstract

Cognitive Radio Networks (CRN) is increasingly becoming an important technology in wireless communication networks because of its potential and ability to improve the utilization of radio spectrum. Such networks implement co-operative spectrum sensing technique to locate vacant bands and apply strategies to decide when, how and in which band they may choose to communicate.  In realizing this, the network is exposed to a major threat known as Primary User Emulation Attack (PUEA), in which malicious users may tend to destruct the spectrum sensing process by imitating the primary user signal and deceive the Secondary Users (SU) from transmitting in the vacant spectral bands. In this article, a new energy detection cooperative spectrum sensing technique in a cognitive radio networks is proposed to assist in the reduction of errors made by secondary users in detecting primary user signals in spectral bands with the presence of a PUEA considered in the network. Comparing our proposed method to other existing PUEA mitigation methods, the results show that our proposed technique can effectively mitigate PUEA in CRNs.

Author Biographies

Efe Francis Orumwense, Centre for Radio Access & Rural Technologies (CRART) School of Electrical, Electronic & Computer Engineering University of KwaZulu-Natal King George Avenue Durban, South Africa 4001

Research Fellow,

 

Centre for Radio Access & Rural Technologies (CRART)School of Electrical, Electronic & Computer EngineeringNorth BuildingUniversity of KwaZulu-NatalKing George AvenueDurban, South Africa4001

 

Olutayo Oyerinde, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 2050, South Africa.

Senior Lecturer

 

School of Electrical and Information Engineering,

University of the Witwatersrand, Johannesburg, 2050, South Africa.

Stanley Henry Mneney, Centre for Radio Access & Rural Technologies (CRART) School of Electrical, Electronic & Computer Engineering North Building University of KwaZulu-Natal King George Avenue Durban, South Africa 4001

Professor

Centre for Radio Access & Rural Technologies (CRART)School of Electrical, Electronic & Computer EngineeringNorth BuildingUniversity of KwaZulu-NatalKing George AvenueDurban, South Africa4001

References

Akyildiz, I. Lee, W. Vuran, M. & Mohanty, S. 2006. NeXt generation/ dynamic spectrum access/cognitive radio wireless networks: A survey, Computer Networks: The International Journal of Computer and Telecommunication Networking, 50(13): 2127–2159.

Akyildiz, I. Lo, B. & Balakrishnan, R. 2011. Cooperative spectrum sensing in cognitive radio networks: a survey. Journal on Physical Communications. 11(1): 40-62.

Alahmadi, A. Abdelhakim, M. Ren J. & Li, T. 2013. Mitigating primary user emulation attacks in cognitive radio networks using advanced encryption standard. Proceedings of the IEEE Global Communications Conference, Atlanta, USA.

Anand, S. Jin, Z. & Subbalakshmi, K. P. 2008. An analytical model for primary user emulation attacks in cognitive radio networks. Proceedings of the IEEE Symposium of New Frontiers in Dynamic Spectrum Access Networks (DySPAN). Chicago, USA.

Chen, C. Cheng, H. & Yao, Y. 2011. Cooperative spectrum sensing in cognitive radio networks in the presence of the primary user emulation attack, IEEE Transactions on Wireless Communications. 10(7): 2135-2141.

Chen, R. Park, J. M. 2006. Ensuring trustworthy spectrum sensing in cognitive radio networks, IEEE workshop on networking technologies for software defined radio networks. Vancouver, USA.

Chen, R. Park, M. J & Reed J. H. 2008. Defense against Primary User Emulation Attacks in Cognitive Radio Networks, IEEE Journal on Selected Areas in Communications, 26(1): 25-37.

Chen, Z. Cooklev, T. Chen, C. & Pomalaza-Raez, C. 2009. Modeling primary user emulation attacks and defenses in cognitive radio networks, Proceedings of the IEEE International Performance Computing and Communications Conference (IPCCC’2009), Arizona, USA.

Clancy T. & Goergen, N. 2008. Security in cognitive radio networks: Threats and Mitigation, Proceedings of the International Conference on Cognitive Radio Oriented Wireless Networks and communications, (CrownCom) Singapore.

Digham, F. Alouini, M. & Simon, M. 2007. On the energy detection of unknown signals over fading channels, IEEE Transactions on Communications. 55(1): 21-24.

Famous, A. Sagduyu, Y. & Ephremides, A. 2014. Reliable spectrum sensing and opportunistic access in network-coded communications. IEEE Journal on Selected Areas in Communications. 32(3): 400-410.

Ganesan, G. and Li, Y. G. 2005. Cooperative spectrum sensing in cognitive radio networks, Proceedings of the IEEE Symposium New Frontiers in Dynamic Spectrum Access Networks (DySPAN’05), Baltimore, USA.

Ghasemi, A & Sousa, E.S 2005. Collaborative spectrum sensing for opportunistic access in fading environments, Proceedings of the IEEE Symposium New Frontiers in Dynamic Spectrum Access Networks (DySPAN’05), Baltimore, USA.

Gradshteyn I. & Ryzhik, I. 2000. Table of integrals, series and products, 6th edition. New York. Academic Press.

Hang, G. Wang, J. Luo, J. Wen, C. Li, H. Li, Q & Li, S. 2016. Cooperative Spectrum Sensing in Heterogenous Cognitive Radio Networks Based on Normalized Energy Detection. IEEE Transactions on Vehicular Technology. 65(3): 1452- 1463.

Huang, L et al. 2010. Anti-PUE attack based on joint position verification in cognitive radio networks. Proceedings of the International Conference on Communications and Mobile Computing (CMC). Shenzhen, China.

Jin, Z Anand, S & Subbalakshmi, K. P. 2012. Mitigating primary user emulation attacks in dynamic spectrum access networks using hypothesis testing. IEEE Transactions on Mobile Computing and Communications, 60(4): 74 -85.

Kay, S. 1998. Fundamentals of statistical signal processing: detection theory. 2. Englewood Cliffs, NJ; Prentice-Hall.

Kyperountas, S. Correal, N. & Shi, Q. 2013. A Comparison of Fusion Rules for Cooperative Spectrum Sensing in Fading Channels. EMS Research, Motorola.

Letaief, K.B & Zhang, W. 2009. Cooperative communications for cognitive radio networks, Proceedings of the IEEE communications survey and Tutorials, 97(5): 2009.

Liu, Y. Ning, P. & Dai, H. 2010. Authenticating Primary Users Signals in Cognitive Radio networks via integrated cryptographic and wireless link signatures, Proceedings of the IEEE Symposium on Security and Privacy, California, USA.

Mishra, M. Sahai, A. & Brodersen, R. 2006. Cooperative sensing among cognitive radios, Proceedings of the IEEE International Conference Communications, Istanbul, Turkey.

Orumwense, E. F. Oyerinde, O. Mneney, S. 2014. Impact of primary user emulation attacks on cognitive radio networks, International Journal on Communications Antenna and Propagation, 4(1): 19-26.

Orumwense, E. F. Afullo T. & Srivastava, V. 2015a. Secondary user energy consumption in cognitive radio networks Proceedings of the IEEE AFRICON conference. Addis Ababa, Ethiopia.

Orumwense, E. F. Afullo, T and Srivastava, V. 2015b. Effects of malicious users on the energy efficiency of cognitive radio networks. Proceedings of the Southern African Telecommunications Networks and Applications Conference (SATNAC), Hermanus, South Africa.

Yuan, Z. Niyato, D. Li, H. & Han, Z. 2011. Defense against primary user emulation attacks using belief propagation of location information in cognitive radio networks, Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC). Quintana, Mexico.

Zhao, C. Wang, W. Huang L. & Yao, Y. 2009. Anti-PUEA attack based on the transmitter fingerprint identification in cognitive radio. Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). Bejing, China.

Published
2017-11-02
Section
Electrical Engineering