Lightweight Secure Session Key Protection, Mutual Authentication, and Access Control (LSSMAC) for WBAN-Assisted IoT Network
Mayank Gupta, B. Sathis Kumar
Abstract
Wireless body area network (WBAN) is a new technology trend that uses wearable sensors linked to the Internet-of-Things (IoT) network to provide remote tracking and data collection for patient healthcare records. IoT technologies have the potential to change our everyday lives, but they also pose significant security concerns. However, in untrusted wireless environments, the majority of WBAN–IoT data is shared between computationally restricted devices. As a result, protecting sensitive data in WBAN–IoT becomes a crucial challenge. The algorithm had to be lightweight due to the limited computing resources in WBAN sensors or IoT devices. However, significant issues in cloud-based IoT systems must be resolved to recognize the authority of communicators during contact sessions over vulnerable networks like the Internet. To eliminate unauthorized access in IoT applications, a safe authentication, confidentiality, and integrity protocol are highly desirable. Under the hard problem assumptions, our protocol is provably reliable and meets all security criteria, including session key security. In addition, our proposed lightweight secure session key protection, mutual authentication, and access control IoT (LSSMAC-IoT) is considerably greater than the fastest ones shown by the performance evaluation, based on an already existing safe, mutual authentication (MA) process based on heavy homomorphic encryptions and zero-knowledge proof.