Classifier selection for physical layer security augmentation in Cognitive Radio networks

IEEE International Conference on Communications

Volumn , Issue , 2013, Pages 2846-2851

  Harmer, Paul K ^a   Reising, Donald R ^a   Temple, Michael A ^a  

^a Air Force Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTHENTICATION; COGNITIVE RADIO; DISCRIMINANT ANALYSIS; NETWORK LAYERS; VECTOR QUANTIZATION; WIRELESS NETWORKS;

CLASSIFICATION PERFORMANCE; CLASSIFIER SELECTION; COGNITIVE RADIO NETWORK; COMPARATIVE ASSESSMENT; ENVIRONMENT ASSESSMENTS; ENVIRONMENTAL ASSESSMENT; MULTIPLE DISCRIMINANT ANALYSIS; PHYSICAL LAYER SECURITY;

NETWORK SECURITY;

EID: 84891370562     PISSN: 15503607     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2013.6654972     Document Type: Conference Paper

References (32)

1. T. Clancy and N. Goergen, "Security in Cognitive Radio Networks: Threats and Mitigation, " in 3rd Int'l Conf on CR Oriented Wireless Nets and Comm (CROWNCOM08), May 2008, pp. 1-8.
2. J. Burbank, "Security in CR Networks: The Required Evolution in Approaches to Wireless Network Security, " in 3rd Int'l Conf on CR Oriented Wireless Nets and Comm (CROWNCOM08), May 2008.
3. B. Wang and K. Liu, "Advances in CR Networks: A Survey, " IEEE Jour of Sel Topics in Signal Processing, vol. 5, no. 1, pp. 5-23, 2011.
4. A. Fragkiadakis, E. Tragos, and I. Askoxylakis, "A Survey on Security Threats and Detection Techniques in Cognitive Radio Networks, " IEEE Communications Surveys Tutorials, vol. PP, no. 99, pp. 1 -18, 2012.
5. D. Pu, Y. Shi, A. Ilyashenko, and A. Wyglinski, "Detecting primary user emulation attack in cognitive radio networks, " in Global Telecommunications Conference (GLOBECOM 2011), Dec 2011.
6. N. Nguyen, R. Zheng, and Z. Han, "On identifying primary user emulation attacks in cognitive radio systems using nonparametric bayesian classification, " Signal Processing, IEEE Transactions on, vol. 60, no. 3, pp. 1432 -1445, Mar 2012.
7. V. Brik, et al., "Wireless Device ID with Radiometric Signatures, " in Proc of the 14th ACM Int'l Conf on Mobile computing and networking, ser. MobiCom '08. New York, NY, USA: ACM, 2008, pp. 116-127.
8. R.W. Klein, et al., "Application of Wavelet-Based RF Fingerprinting to Enhance Wireless Network Security, " Jour of Communications and Networks, vol. 11, no. 6, pp. 544-555, Dec 2009.
9. J. Pang, et al., "802.11 User Fingerprinting, " in 13th Annual ACM Int'l Conf on Mobile Computing and Networking (MOBICOM07). New York, NY, USA: ACM, 2007, pp. 99-110.
10. D. Takahashi, et al., "IEEE 802.11 Fingerprinting and Its Applications for Intrusion Detection, " vol. 60, no. 2, pp. 307-318, 2010.
11. W.C. Suski, et al., "RF Fingerprinting Commercial Communication Devices to Enhance Electronic Security, " Int. J. Electronic Security and Digital Forensics, vol. 1, no. 3, pp. 301-322, Oct 2008.
12. P.K. Harmer, et al., "4G Security Using Physical Layer RF-DNA with DE-Optimized LFS Classification, " Jour of Communications Networks, vol. 6, no. 9, pp. 671-681, 2011.
13. D.R. Reising, et al., "Improved Wireless Security for GMSK-Based Devices Using RF Fingerprinting, " Int. J. Electronic Security and Digital Forensics, vol. 3, no. 1, pp. 41-59, Mar 2010.
14. M.D. Williams, et al., "Augmenting Bit-Level Network Security Using Physical Layer RF-DNA Fingerprinting, " in IEEE Global Communications Conf, Dec 2010.
15. M.D. Williams, et al, "RF-DNA Fingerprinting for Airport WiMAX Communications Security, " in Proc of 4th Int'l Conf on Network and Systems Security (NSS10), Sep 2010.
16. D.R. Reising, et al., "Gabor-Based RF-DNA Fingerprinting for Classifying 802.16e WiMAX Mobile Subscribers, " in 2012 IEEE Int'l Conf on Computing, Networking & Communications (ICNC12), Jan 2012.
17. D.R. Reising, et al, "WiMAX Mobile Subscriber Verification Using Gabor-Based RF-DNA Fingerprints, " in 2012 IEEE Int'l Conf on Communications (ICC12), Jun 2012.
18. J. Hall, et al., "Detecting Rogue Devices in Bluetooth Networks Using Radio Frequency Fingerprinting, " in Communications and Computer Networks, 2006, pp. 108-113.
19. B. Danev, et al., "Transient-Based ID of Wireless Sensor Nodes, " in Int'l Conf on Information Processing in Sensor Networks (IPSN'09). Washington, DC, USA: IEEE Computer Society, 2009.
20. D. Zanetti, et al., "PHY-Layer ID of UHF RFID Tags, " in Proc of 16th Annual Int'l Conf on Mobile Computing and Networking, ser. MobiCom '10. New York, NY, USA: ACM, 2010, pp. 353-364.
21. M.J. Mendenhall and E. Merenyi, "Relevance-Based Feature Extraction for Hyperspectral Images, " Neural Networks, IEEE Transactions on, vol. 19, no. 4, pp. 658-672, Apr 2008.
22. B. Hammer and T. Villmann, "Generalized Relevance Learning Vector Quantization, " Neural Networks, vol. 15, pp. 1059-1068, 2002.
23. D.R. Reising, et al., "Improving Intra-Cellular Security Using Air Monitoring with RF Fingerprints." IEEE Wireless Communications and Networking Conf (WCNC10), Apr 2010.
24. Agilent, Agilent E3238 Signal Intercept and Collection Solutions: Family Overview, Pub 5989-1274EN, Agilent Technologies Inc., USA, 2004.
25. M.J. Bastiaans, "Discrete Gabor Transform and Discrete Zak Transform, " in Proc of IEEE Int'l Conf on Signal and Image Processing Applications (ICSIPA96), 1996.
26. T. Hastie, et al., The Elements of Statistical Learning; Data Mining, Inference, and Prediction. Springer-Verlag, New York, USA, 2001.
27. A.V. Gribok, et al., App of Localized Regularization Methods for Nuclear Power Plant Sensor Calibration Monitoring, 2002, ch. 70, pp. 580-587.
28. V. S. Cherkassky and F. Mulier, Learning From Data: Concepts, Theory, and Methods, 2nd ed. Hoboken, HJ: Wiley & Sons, 2007.
29. D.J. Hand, Kernel Discriminant Analysis. John Wiley & Sons, 1982.
30. C. Goutte and J. Larsen, "Adaptive Metric Kernel Regression, " J. of VLSI Signal Processing, vol. 26, no. 1/2, pp. 155-167, 2000.
31. P. Harmer and M. Temple, "An improved LFS engine for physical layer security augmentation in cognitive networks, " in Int'l Conf on Computing, Networking, and Communications, Jan 2013.
32. D. DeSieno, "Adding a Conscience to Competitive Learning." in Proc. IEEE Int'l Conf Neural Network I, Jul 1988, pp.117-124.