RAFI: Robust Authentication Framework for IoT-Based RFID Infrastructure

Abstract

The Internet of Things (IoT) is a future trend that uses the Internet to connect a variety of physical things with the cyber world. IoT technology is rapidly evolving, and it will soon have a significant impact on our daily lives. While the growing number of linked IoT devices makes our daily lives easier, it also puts our personal data at risk. In IoT applications, Radio Frequency Identification (RFID) helps in the automatic identification of linked devices, and the dataflow of the system forms a symmetry in communication between the tags and the readers. However, the security and privacy of RFID-tag-connected devices are the key concerns. The communication link is thought to be wireless or insecure, making the RFID system open to several known threats. In order to address these security issues, we propose a robust authentication framework for IoT-based RFID infrastructure. We use formal security analysis in the random oracle model, as well as information analysis to support the claim of secure communication. Regarding the desirable performance characteristics, we describe and analyze the proposed framework’s performance and compare it to similar systems. According to our findings, the proposed framework satisfies all security requirements while also improving the communication.

A Secure and Privacy-Preserving Lightweight Authentication and Key Exchange Algorithm for Smart Agriculture Monitoring System

“…Let E q (u, v) be an EC over the prime field F q , therefore the equation of EC over F q is defined y 2 = x 3 + ux + v mod q where u, v ∈ F q and 4u 3 + 27v 2 mod q ̸ = 0 where u and v are the curves parameters [34], [35].…”

Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

“…All of these rely on the fact that the data from the sensors must be transmitted somehow. This is an especially significant threat to IoT and industrial IoT devices and sensors [ 26 , 27 ]. Even the commonly used IIoT protocol MQTT is prone to typical attacks [ 28 , 29 ], e.g., as considered in this paper, man in the middle attacks [ 30 ].…”

Near Field Sensing Applications with Tunable Beam Millimeter Wave Antenna Sensors in an All-in-One Chip Design

“…Wireless sensors are differentiated into active and passive wireless sensors. Applications of passive wireless sensors include passive radar [1][2][3][4][5], liquid sensing [6][7][8], spatial positioning [9][10][11][12][13], RFID [14][15][16][17][18][19][20][21], and blood glucose determination [22,23].…”

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