A Hash-Based RFID Authentication Mechanism for Context-Aware Management in IoT-Based Multimedia Systems

Abstract

With the technological advances in the areas of Machine-To-Machine (M2M) and Device-To-Device (D2D) communication, various smart computing devices now integrate a set of multimedia sensors such as accelerometers, barometers, cameras, fingerprint sensors, gestures, iris scanners, etc., to infer the environmental status. These devices are generally identified using radio-frequency identification (RFID) to transfer the collected data to other local or remote objects over a geographical location. To enable automatic data collection and transition, a valid RFID embedded object is highly recommended. It is used to authorize the devices at various communication phases. In smart application devices, RFID-based authentication is enabled to provide short-range operation. On the other hand, it does not require the communication device to be in line-of-sight to gain server access like bar-code systems. However, in existing authentication schemes, an adversary may capture private user data to create a forgery problem. Also, another issue is the high computation cost. Thus, several studies have addressed the usage of context-aware authentication schemes for multimedia device management systems. The security objective is to determine the user authenticity in order to withhold the eavesdropping and tracing. Lately, RFID has played a significant for the context-aware sensor management systems (CASMS) as it can reduce the complexity of the sensor systems, it can be available in access control, sensor monitoring, real time inventory and security-aware management systems. Lately, this technology has opened up its wings for CASMS, where the challenging issues are tag-anonymity, mutual authentication and untraceability. Thus, this paper proposes a secure hash-based RFID mechanism for CASMS. This proposed protocol is based on the hash operation with the synchronized secret session-key to withstand any attacks, such as desynchronization, replay and man-in-the-middle. Importantly, the security and performance analysis proves that the proposed hash-based protocol achieves better security and performance efficiencies than other related schemes. From the simulation results, it is observed that the proposed scheme is secure, robust and less expensive while achieving better communication metrics such as packet delivery ratio, end-to-end delay and throughput rate.

Lightweight privacy‐aware secure authentication scheme for cyber‐physical systems in the edge intelligence era

“…To protect the IoT networks, a lightweight protocol design is playing a crucial role 27 . Of late, various authentication schemes 27–30 have been proposed using identity‐based cryptography that minimizes certificate management for the authentication of IoT devices.…”

“…Zhao et al 15 To protect the IoT networks, a lightweight protocol design is playing a crucial role. 27 Of late, various authentication schemes [27][28][29][30] have been proposed using identity-based cryptography that minimizes certificate management for the authentication of IoT devices. In addition, limited numbers of authentication protocols have been presented for IoT-based mobile computing devices such as mobile healthcare, pay-TV, and wireless body area networks.…”

Internet of Multimedia Things (IoMT): Opportunities, Challenges and Solutions

“…Therefore, an eavesdropper can forge and access the user's private data. David et al in [21] proposed a hash-based RFID authentication mechanism for Context-Aware Sensor Management System (CASMS) to provide security to prevent attacks such as replay, man-in-the-middle, and desynchronization. Hash-based RFID authentication is the five-phase mechanism, namely pre-phase registration, reader pro-tag request and response, tag mutual session key authentication, back end server key authentication, and session key updating.…”

Design of agricultural product traceability system based on blockchain and RFID

“…At the same time, the decentralization, tamper-proof, traceability and trust of the blockchain make this technology very suitable for solving the problems of centralized management and multi-party trust commonly faced by the current RFID anti-counterfeiting traceability system [16]- [18] . However, neither personal research nor the blockchain platform can ensure the authenticity of the traceability data before it is put on the chain, and when the amount of traceability data is large, the operation efficiency of the traceability system cannot be guaranteed [19]- [21] .…”