Enhancement of a User Authentication Scheme for Big Data Collection in IoT-Based Intelligent Transportation System
Résumé
In recent years, research on the Internet of Things (IoT) has seen widespread growth, with a particular focus on mobile networks, especially intelligent transportation systems (ITS), due to their potential application in smart cities. However, communication within ITS suffers from numerous issues, leading to multiple attacks. Therefore, ensuring the secure transmission of messages in ITS poses a significant challenge. Recently, Srinivas et al. have proposed “a three-factor authentication scheme for Big Data collection in IoT-based ITS, called UAP-BCIoT”. However, the proposed scheme has some shortcomings in terms of authentication. In this paper, we show how this flaw affects the users’ access to the data provided by the IoT devices, which are deployed on vehicles. In addition, we propose enhancements to overcome the scheme’s authentication issue. Furthermore, a comparative analysis reveals that the enhanced UAP-BCIoT achieves better efficiency, security, and performance compared to UAP-BCIoT and other schemes.