Improved Authenticated Key Agreement Scheme for Fog-Driven IoT Healthcare System

Author:

Wu Tsu-Yang123ORCID,Wang Tao23ORCID,Lee Yu-Qi23ORCID,Zheng Weimin12ORCID,Kumari Saru4ORCID,Kumar Sachin5ORCID

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China

2. School of Information Science and Engineering, Fujian University of Technology, Fuzhou 350118, China

3. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350118, China

4. Department of Mathematics, Chaudhary Charan Singh University, Meerut, Uttar Pradesh 250004, India

5. Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad 201009, India

Abstract

The Internet of things (IoT) has been widely used for various applications including medical and transportation systems, among others. Smart medical systems have become the most effective and practical solutions to provide users with low-cost, noninvasive, and long-term continuous health monitoring. Recently, Jia et al. proposed an authentication and key agreement scheme for smart medical systems based on fog computing and indicated that it is safe and can withstand a variety of known attacks. Nevertheless, we found that it consists of several flaws, including known session-specific temporary information attacks and lack of per-verification. The opponent can readily recover the session key and user identity. In this paper, we propose a secure authentication and key agreement scheme, which compensates for the imperfections of the previously proposed. For a security evaluation of the proposed authentication scheme, informal security analysis and the Burrows–Abadi–Needham (BAN) logic analysis are implemented. In addition, the ProVerif tool is used to normalize the security verification of the scheme. Finally, the performance comparisons with the former schemes show that the proposed scheme is more applicable and secure.

Funder

National Key Research and Development Project, China

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Reference56 articles.

1. A survey on intelligent sensor network and its applications;F. C. Chang;Journal of Network Intelligence,2016

2. Alpha-fraction first strategy for hierarchical wireless sensor networks;J. S. Pan;Journal of Internet Technology,2018

3. An Affinity Propagation-Based Self-Adaptive Clustering Method for Wireless Sensor Networks

4. Quasi-Affine Transformation Evolutionary Algorithm With Communication Schemes for Application of RSSI in Wireless Sensor Networks

5. Optimal Coverage Multi-Path Scheduling Scheme with Multiple Mobile Sinks for WSNs

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