Unique Identification of Radio Frequency Identification Tags

Radio Frequency Identi cation (RFID) tags are used in credit cards and passports for automatic identity recognition and expense transfers as well as throughout the supply chain to track inventory. The unauthorized electronic reproduction of these RFID signals is easily performed despite the use of developed encryption methods and can lead to critical security breaches and lost inventory. A method for determining spoofed RFID tags is presented based on ngerprinting unintentional modulations in the electromagnetic signal of RF emitters. Improvements to existing supervised pattern classi cation techniques are presented, utilizing the Dynamic Wavelet Fingerprint (DWFP) technique for feature extraction.