Spatio-Temporal Cryptography: Integrated Sensing and Communication Meta-RFID Tags with ANN-Based Identification for High-Security Authentication

A spatio-temporal cryptography technology that is expected to bring some improvements compared with traditional Radio Frequency Identification (RFID) methods is proposed in this paper. The technology is characterized by a novel Meta-RFID tag, which integrates sensing and communication functionalities and is capable of intelligently perceiving its surrounding environment. The output state of the spatio-temporal password is physically adjusted by the tag in response to scenario changes. For effective identity verification, an artificial neural network (ANN) algorithm is employed in the accompanying reader to precisely recognize the state of the Meta-RFID tag. Experimental validations, conducted on the USRP platform, have demonstrated the high accuracy of the Meta-RFID in scenario recognition and the precise state identification capabilities of the reader equipped with ANN. The results underscore the efficiency, reliability, and considerable potential of the technology for future applications in identity verification.