An article entitled "A New Strong Adversary Model for RFID Authentication Protocols", co-authored by Dr. Amir Rahmani, Professor of Computer Science at Khazar University was published in IEEE Access, an ISI-index journal from IEEE Publisher.

Radio Frequency Identification (RFID) systems represent a key technology for the Internet of Things (IoT). In RFID technology, authentication protocols are often necessary to confirm the identity of the parties involved (i.e. RFID readers, RFID tags and database servers). Firstly, we show two approaches that an adversary may use to mislead an honest reader into thinking that it is communicating with a legitimate database. Secondly, we show how an adversary that has compromised some tags can impersonate an RFID reader to a legitimate database. Finally, we propose a new authentication protocol that offers an adequate security level and is resistant to the mentioned security risks. The security proofs of the proposed protocol are supported with Gong-Needham-Yahalom (GNY) logic and Scyther tool, which are formal methods to evaluate the security of a cryptographic protocol.

The article can be found at this link:

https://ieeexplore.ieee.org/document/9134736/authors