Improved Radiometric Identification of Wireless Devices Using MIMO Transmission

作者: Yan Shi , Michael A. Jensen

DOI: 10.1109/TIFS.2011.2162949

关键词:

摘要: Authenticating wireless devices based on features of their transmitted waveform has become a topic considerable interest. Recent work in this arena shown that examination modulated can lead to highly precise identification 802.11 devices. This paper experimentally demonstrates improved accuracy and reduced sensitivity parameters when such techniques are applied the multiple transmitters within multiple-input multiple-output It further studies an information theoretic technique for determining which radiometric most effective discriminating analyzes performance as function number used. Finally, because some sensitive environmental conditions and, therefore, drift with time, analysis explores impact feature both prioritization performance.

参考文章(24)
Michel Barbeau, Jeyanthi Hall, Evangelos Kranakis, Enhancing intrusion detection in wireless networks using radio frequency fingerprinting. communications, internet, and information technology. pp. 201- 206 ,(2004)
Michel Barbeau, Jyanthi Hall, Evangelos Kranakis, Detecting impersonation attacks in future wireless and mobile networks ad hoc networks. pp. 80- 95 ,(2005) , 10.1007/11801412_8
Jan Struyf, Hendrik Blockeel, Efficient algorithms for decision tree cross-validation Journal of Machine Learning Research. ,vol. 3, pp. 621- 650 ,(2003)
M. Barbeau, J.-M. Robert, Perfect identity concealment in UMTS over radio access links wireless and mobile computing, networking and communications. ,vol. 2, pp. 72- 77 ,(2005) , 10.1109/WIMOB.2005.1512853
Kasper Bonne Rasmussen, Srdjan Capkun, Implications of radio fingerprinting on the security of sensor networks 2007 Third International Conference on Security and Privacy in Communications Networks and the Workshops - SecureComm 2007. pp. 331- 340 ,(2007) , 10.1109/SECCOM.2007.4550352
Ruey-Hsia Li, Geneva G. Belford, Instability of decision tree classification algorithms Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02. pp. 570- 575 ,(2002) , 10.1145/775047.775131
Ö.H. Tekbaş, O. Üreten, N. Serinken, Improvement of transmitter identification system for low SNR transients Electronics Letters. ,vol. 40, pp. 182- 183 ,(2004) , 10.1049/EL:20040160
Igor V. Tetko, David J. Livingstone, Alexander I. Luik, Neural network studies. 1. Comparison of overfitting and overtraining Journal of Chemical Information and Computer Sciences. ,vol. 35, pp. 826- 833 ,(1995) , 10.1021/CI00027A006
Oktay Ureten, Nur Serinken, Wireless security through RF fingerprinting Canadian Journal of Electrical and Computer Engineering-revue Canadienne De Genie Electrique Et Informatique. ,vol. 32, pp. 27- 33 ,(2007) , 10.1109/CJECE.2007.364330