Automatic Modulation Recognition of Communication Signals
Automatic Modulation Recognition of Communication Signals
GSM Networks: Protocols, Terminology, and Implementation
GSM Networks: Protocols, Terminology, and Implementation
An Introduction to GSM
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Radio frequency fingerprinting commercial communication devices to enhance electronic security
International Journal of Electronic Security and Digital Forensics
Using differential evolution to optimize 'learning from signals' and enhance network security
Proceedings of the 13th annual conference on Genetic and evolutionary computation
On the practicality of UHF RFID fingerprinting: how real is the RFID tracking problem?
PETS'11 Proceedings of the 11th international conference on Privacy enhancing technologies
Towards Practical Identification of HF RFID Devices
ACM Transactions on Information and System Security (TISSEC)
On physical-layer identification of wireless devices
ACM Computing Surveys (CSUR)
Forensic identification of GSM mobile phones
Proceedings of the first ACM workshop on Information hiding and multimedia security
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Gaussian minimum shift keying (GMSK) is employed in current global system for mobile (GSM) networks and remains a viable option for future wireless systems. Physical layer (PHY) security is demonstrated using RF fingerprints from GSM-GMSK signals to thwart malicious activities that are commonly orchestrated through unauthorised use of digital identities. Enhanced security is provided through specific emitter identification by classifying RF fingerprints from near-transient and midamble regions of GSM-GMSK bursts using multiple discriminant analysis with maximum likelihood estimation (MDA/ML). While midamble classification performance using instantaneous phase responses is notable, results using GSM-MSK near-transient fingerprint features are nearly 12% better at SNR = 20 dB and accuracies of 88–94% are achieved at SNR = 6 dB. While transient feature performance is consistent with previous 802.11a results, midamble performance is poorer and various factors are identified as potential contributors to the increased classification challenge posed by GMSK signals.