Higher Order Statics Based Primary User Emulation Attack Detection
S. Arul Selvi , Dr. T.V.U. Kiran Kumar
Abstract
Cognitive radio is one of the promising technique for dynamic spectrum sharing to solve the spectrum scarcity problem. Spectrum sensing is the key process in cognitive radio for the dynamic spectrum usage. But security in sensing is still in research issues .There are many security threads in cognitive radio but the primary user emulation attack is the predominant one which will not allow the dynamic spectrum sharing in effect. This primary user emulation attack is the major drawback in energy detector based spectrum sensing. There are various methods to detect the emulation attack like RSSI based, location based etc. But the accuracy of detection is not good because of the uncertainty in the received power due to the random behavior of the channel condition. Most of the methods assume that primary users are stationary and channel variations are not significant. But in real time this assumption is not valid one .Here in this paper, higher order statics based primary user attack detection is proposed which can model the features of the primary user and primary user emulator attackers very well so that we are able to detect the primary user emulation attack accurately. Here various fading channel scenarios like Rayleigh, rician and nagagammi is considered between the primary user and the attackers, on that the performance of the detection of primary user emulation is analyzed
Primary User Emulation Attack, Received Signal Strength Indication, Nagagammi, Rayleigh Channel.
1. Nam Tuan Nguyen, Rong Zheng Zhu Han,” On Identifying Primary User Emulation Attacks in Cognitive Radio Systems Using Nonparametric Bayesian Classification”, IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 60, NO. 3, MARCH 2012
2. F.C.C.: ‘Spectrum policy task force’. Rep. ET Docket no. 02- 135, November 2002
3. F.C.C.: ‘In the matter of unlicensed operation in the TV broadcast bands’. Second Report and Order and Memorandum Opinion and Order, no. FCC-08-260A1, 2008
4. R. Chen, J. M. Park, and J. H. Reed, “Defense against primary user emulation attacks in cognitive radio networks,” IEEE J. Sel. Areas Commun. (Special Issue on Cognitive Radio Theory and Applications), vol. 26, no. 1, pp. 25–37, Jan. 2008
5. S. Anand, Z. Jin, and K. P. Subbalakshmi, “An analytical model for primary user emulation attacks in cognitive radio networks,” in Proc. 3rd IEEE Symp. New Frontiers Dyn. Spectrum Access Netw., Oct. 2008, pp. 1–6.
6. C. Chen, H. Cheng, and Y.-D. Yao, “Cooperative spectrum sensing in cognitive radio networks in the presence of the primary user emulation attack,” IEEE Trans. Wireless Commun., vol. 10, no. 7, pp. 2135–2141,Jul. 2011
7. C. Mathur and K. P. Subbalakshmi, “Digital signatures for centralized DSA networks,” in Proc. 4th IEEE CCNC, Jan. 2007, pp. 1037–1041.
8. Ananthram Swami and Brian M. Sadler, Hierarchical Digital Modulation Classification Using Cumulants, IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 48, NO. 3, MARCH 2000
9. Z. Chen, T. Cooklev, C. Chen, and C. Pomalaza-Raez, “Modeling primary user emulation attacks and defenses in cognitive radio networks,” in Proc. of IPCCC, 2009, pp. 208–215.
10. Z. Quan, S. Cui, and A. Sayed, “Optimal linear cooperation for spectrum sensing in cognitive radio networks,” IEEE J. Sel. Topics Signal Process., vol. 2, 2008.
11. F. Digham, M. Alouini, and M. Sinon, “On the energy detection of unknown signals over fading channels,” IEEE Trans. Commun., vol. 55, pp. 21–24, 2007.
12. H. Kim and K. Shin, “In-band Spectrum Sensing in Cognitive Radio Networks: Energy Detection or Feature Detection?” in Proc. MobiCom, 2008, pp. 14–19.
13. S. Gong, W. Liu, W. Yuan, W. Cheng, and S. Wang, “Threshold- Learning in Local Spectrum Sensing of Cognitive Radio,” in Proc. VTC, 2009, pp. 1–6.
[S. Arul Selvi , Dr. T.V.U. Kiran Kumar (2015) Higher Order Statics Based Primary User Emulation Attack Detection IJIRCST Vol-3 Issue-2 Page No-144-149] (ISSN 2347 - 5552). www.ijircst.org
S. Arul Selvi
Electronics and Communication Department, Bharath University,Chennai, Tamilnadu, 600073, India.
