عنوان انگلیسی مقاله:
ترجمه فارسی عنوان مقاله:
ScienceDirect - Elsevier - Future Generation Computer Systems, 122 (2021) 52-62: doi:10:1016/j:future:2021:03:008
Cyber–Physical System (CPS) are widely used in various areas such as industrial manufacturing, telemedicine and energy, etc. Specifically, industrial medical CPS utilizes various medical devices connected to the network to realize real-time management and treatment of patient. However, the underlying wireless channel makes industrial medical CPS vulnerable to external attacks, which may leak patient privacy and even threaten patients’ lives. Besides, most of the authentication schemes are not suitable for real-time applications such as medical CPS due to the latency. Hence, the artificial intelligence (AI) techniques can be useful in this environment to cater to the aforementioned challenges. It necessitates constructing a secure and lightweight authentication protocol to prevent the unauthorized access and control of medical devices. Traditional authentication schemes adopt a password-based or smartcard to validate the authenticity of users, which may suffer from password guessing or smartcard lost attack. However, the AI-assisted biometrics technique can effectively resist the aforementioned attacks. Therefore, an AI-assisted lightweight authentication protocol for real-time access using a Chebyshev map in industrial medical CPS is designed in this paper, which is robust and resolve security and privacy issues. The proposed protocol is capable of resisting various known attacks through security analysis. The proposed protocol has less computational overhead with a slight increase in communication overhead. Also, the proposed protocol supports stringent security features and functionalities compared to other existing protocols.© 2021 Elsevier B.V. All rights reserved.
Keywords: Chebyshev map | Medical CPS | Authentication | Security and privacy | AI-assisted