Security-Enhanced Lightweight and Anonymity-Preserving User Authentication Scheme for IoT-Based Healthcare
Xin Zhou, Shengbao Wang, Kang Wen, Bin Hu, Xiao Tan, Qi Xie
Abstract
Ensuring trust within the healthcare system and addressing privacy and security challenges in the Internet of Medical Things (IoMT) is of paramount importance. Based on our preliminary analysis results of Masud et al.’s authentication protocol, we propose an improved solution building upon their protocol. Our improved protocol incorporates various security measures to enhance its security. To validate the effectiveness of our improved protocol, we employ a comprehensive range of heuristic and formal security analysis methods. Comparative evaluations with other relevant protocols reveal that our proposed solution achieves satisfactory operational performance in resource-constrained IoMT scenarios.