Journal article
Lightweight privacy-preserving authentication mechanism in 5G-enabled industrial cyber physical systems
Information sciences, Vol.666, 120391
05/2024
DOI: 10.1016/j.ins.2024.120391
Abstract
With the deep integration of informatization and industrialization, cyber-physical system (CPS), which integrates computing, communication and control technologies, comes into being and has been widely used in industrial applications. A large number of information physical system devices and control systems are based on open internet connections, and security and privacy protection issues are gradually emerging, especially in the process of dynamic and difficult to control information physical system stream data transmission and storage, which will face new security threats. To alleviate these issues, user authentication mechanisms can prevent unauthorized access by adversaries in the CPS environment. For this purpose, we put forth a lightweight privacy-preserving authentication scheme for 5G-enabled ecosystems. This method utilizes edge devices to save online transaction data in network and securely transmits IoT devices data from the sensors to the edge gateway. Then, the edge gateway delivers and stores these data in the cloud. A detailed comparative study based on experimental results indicates that our proposal achieves a better balance between security and functionality features, communication and capitulation costs compared to other existing competitive solutions.
Details
- Title: Subtitle
- Lightweight privacy-preserving authentication mechanism in 5G-enabled industrial cyber physical systems
- Creators
- Xinyin Xiang - Xi'an University of Finance and EconomicsJin Cao - Xidian UniversityWeiguo Fan - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Information sciences, Vol.666, 120391
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.ins.2024.120391
- ISSN
- 0020-0255
- eISSN
- 1872-6291
- Grant note
- DOI: 10.13039/501100017596, name: Natural Science Basic Research Program of Shaanxi Province
- Language
- English
- Date published
- 05/2024
- Academic Unit
- Business Analytics
- Record Identifier
- 9984572458302771
Metrics
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