Kumar Vikas, Kumar Rahul, Khan Akber Ali, Kumar Vinod, Chen Yu-Chi, Chang Chin-Chieh
Department of Mathematics, SSV College, Hapur 245101, Uttar Pradesh, India.
B. S. Anangpuria Institute of Technology and Management, Faridabad 121004, Haryana, India.
Sensors (Basel). 2022 Apr 19;22(9):3110. doi: 10.3390/s22093110.
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.
物联网（IoT）是一种未来趋势，它利用互联网将各种物理事物与网络世界连接起来。物联网技术正在迅速发展，并且很快将对我们的日常生活产生重大影响。虽然越来越多的物联网设备使我们的日常生活更加便捷，但也使我们的个人数据面临风险。在物联网应用中，射频识别（RFID）有助于自动识别连接的设备，并且系统的数据流在标签和读取器之间的通信中形成对称。然而，与RFID标签连接的设备的安全性和隐私是关键问题。通信链路被认为是无线的或不安全的，这使得RFID系统容易受到几种已知威胁。为了解决这些安全问题，我们为基于物联网的RFID基础设施提出了一个强大的认证框架。我们在随机预言模型中使用形式安全分析以及信息分析来支持安全通信的主张
