Blockchain-Based Secure Trust Management Scheme for Internet of Vehicles Over Cyber-Physical System

The importance of vehicular networking technology has grown significantly with advancements in autonomous driving and intelligent transportation systems over cyber-physical systems (CPS). Due to its open-access environment, vehicular networking presents significant security problems in assuring mess...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2024-11, p.1-10
Main Authors: Chunduri, Venkata, Alsaadi, Mahmood, Gupta, Sachin, Ahanger, Tariq Ahamed, Gopi, Adapa, Alghayadh, Faisal Yousef, Shavkatov, Navruzbek, Mahato, Ganesh Kumar
Format: Article
Language:English
Subjects:
Automobiles
blockchain
Blockchains
consensus methods
Cyber-physical systems
Internet of Vehicles
Privacy
Reliability
Scalability
Security
Transportation
transportation cyber-physical systems
Trust management
vehicular network
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Summary:The importance of vehicular networking technology has grown significantly with advancements in autonomous driving and intelligent transportation systems over cyber-physical systems (CPS). Due to its open-access environment, vehicular networking presents significant security problems in assuring message reliability and vehicle trustworthiness. To overcome this problem, this study proposes a framework for managing trust in cars for safe transportation in cyber-physical systems (T-CPS). This framework builds on existing blockchain-based trust management systems to address issues with scalability and ineffective consensus approaches. The framework is divided into three modules: message trust evaluation, vehicle trust update, and trust block generation and agreement. The message trust evaluation module evaluates message reliability by taking into account both direct and indirect vehicle trust over T-CPS. This assessment leads to the identification of misleading messages originating from malicious nodes. Within the T-CPS trust update module, the aim is to mitigate any malicious actions vehicles perform successfully by adjusting the level of trust assigned to each vehicle in T-CPS, which is determined by evaluating the messages received and considering the vehicle's past behaviour. Ultimately, the effectiveness of the framework is confirmed through simulation studies. The experimental results show clear enhancements in scalability and resilience using the proposed algorithm.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2024.3485481