Biblio

Radio frequency identification wireless sensing technology widely adopted and developed from last decade and has been utilized for monitoring and autonomous identification of objects. However, wider utilization of RFID technologies has introduced challenges such as preserving security and privacy of sensitive data while maintaining the high quality of service. Thus, in this work, we will deliberately build up a RFID system by utilizing learning automata based multi agent intelligent system to greatly enhance and secure message transactions and to improve operational efficiency. The incorporation of these two advancements and technological developments will provide maximum benefit in terms of expertly and securely handle data in RFID scenario. In proposed work, learning automata inbuilt RFID tags or assumed players choose their optimal strategy via enlarging its own utility function to achieve long term benefit. This is possible if they transmit their utility securely to back end server and then correspondingly safely get new utility function from server to behave optimally in its environment. Hence, our proposed authentication protocol, expertly transfer utility from learning automata inbuilt tags to reader and then to server. Moreover, we verify the security and privacy of our proposed system by utilizing automatic formal prover Scyther tool.

The applications of Radio Frequency Identification (RFID) technology has been rapidly developed to be used in different fields that require automatic identification of objects and managing information. The advantage of employing RFID systems is to facilitate automatic identification of objects from distance without any interaction with tagged objects and without using a line of sight as compared with barcode. However, security and privacy constitute a challenge to RFID system as RFID systems use the wireless communication. Many researchers have introduced elliptical curve cryptographic (ECC) solutions to the security and privacy in RFID system as an ideal cryptosystem to be implemented with RFID technology. However, most of these solutions do not have provide adequate protection. Moreover, in terms of integrity and confidentiality level, most of these authentication protocols still vulnerable to some of security and privacy attacks. Based on these facts, this paper proposes a mutual authentication protocol that aims at enhancing an existing RFID authentication protocol that suffers from tracking attack and man-in-the-middle attack (MITM). The enhancement is accomplished by improving the security and privacy level against MITM, tracking attack and other related attacks. The proposed protocol is dependent on use the elliptical curve version of Schnorr identification protocol in combination with Keccak hash function. This combination leads to enhance the confidentiality and integrity level of the RFID authentication system and increase the privacy protection.

The security problem of RFID system is a great potential security hazard in its application. Due to the limitation of hardware conditions, traditional public key cryptography can not be directly used in security mechanism. Compared with the traditional RSA public key cryptography, the elliptic curve cryptography has the advantages of shorter key, faster processing speed and smaller storage space, which is very suitable for use in the RFID system.

Radio Frequency IDentification(RFID) is one of the most important sensing techniques for Internet of Things(IoT) and RFID systems have been applied to various different fields. But an RFID system usually uses open wireless radio wave to communicate and this will lead to a serious threat to its privacy and security. The current popular RFID tags are some low-cost passive tags. Their computation and storage resources are very limited. It is not feasible for them to complete some complicated cryptographic operations. So it is very difficult to protect the security and privacy of an RFID system. Lightweight authentication protocol is considered as an effective approach. Many typical authentication protocols usually use Hash functions so that they require more computation and storage resources. Based on CRC function, we propose a lightweight RFID authentication protocol, which needs less computation and storage resources than Hash functions. This protocol exploits an on-chip CRC function and a pseudorandom number generator to ensure the anonymity and freshness of communications between reader and tag. It provides forward security and confidential communication. It can prevent eavesdropping, location trace, replay attack, spoofing and DOS-attack effectively. It is very suitable to be applied to RFID systems.