Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks
Vehicle Ad hoc Networks (VANETs) play an essential role in intelligent transportation systems (ITSs) by improving road safety and traffic management through robust decentralized communication between vehicles and infrastructure. Yet, decentralization introduces security vulnerabilities, including sp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/1/24 |
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| _version_ | 1832587293013049344 |
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| author | Usman Tariq Tariq Ahamed Ahanger |
| author_facet | Usman Tariq Tariq Ahamed Ahanger |
| author_sort | Usman Tariq |
| collection | DOAJ |
| description | Vehicle Ad hoc Networks (VANETs) play an essential role in intelligent transportation systems (ITSs) by improving road safety and traffic management through robust decentralized communication between vehicles and infrastructure. Yet, decentralization introduces security vulnerabilities, including spoofing, tampering, and denial-of-service attacks, which can compromise the reliability and safety of vehicular communications. Traditional centralized security mechanisms are often inadequate in providing the real-time response and scalability required by such dispersed networks. This research promotes a shift toward distributed and real-time technologies, including blockchain and secure multi-party computation, to enhance communication integrity and privacy, ultimately strengthening system resilience by eliminating single points of failure. A core aspect of this study is the novel D-CASBR framework, which integrates three essential components. First, it employs hybrid machine learning methods, such as ElasticNet and Gradient Boosting, to facilitate real-time anomaly detection, identifying unusual activities as they occur. Second, it utilizes a consortium blockchain to provide secure and transparent information exchange among authorized participants. Third, it implements a fog-enabled reputation system that uses distributed fog computing to effectively manage trust within the network. This comprehensive approach addresses latency issues found in conventional systems while significantly improving the reliability and efficacy of threat detection, achieving 95 percent anomaly detection accuracy with minimal false positives. The result is a substantial advancement in securing vehicular networks. |
| format | Article |
| id | doaj-art-74928861d0bc4113a10d6ceb9019f564 |
| institution | Kabale University |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-74928861d0bc4113a10d6ceb9019f5642025-01-24T13:52:47ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-01-011612410.3390/wevj16010024Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything NetworksUsman Tariq0Tariq Ahamed Ahanger1Management Information System Department, College of Business Administration, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi ArabiaManagement Information System Department, College of Business Administration, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi ArabiaVehicle Ad hoc Networks (VANETs) play an essential role in intelligent transportation systems (ITSs) by improving road safety and traffic management through robust decentralized communication between vehicles and infrastructure. Yet, decentralization introduces security vulnerabilities, including spoofing, tampering, and denial-of-service attacks, which can compromise the reliability and safety of vehicular communications. Traditional centralized security mechanisms are often inadequate in providing the real-time response and scalability required by such dispersed networks. This research promotes a shift toward distributed and real-time technologies, including blockchain and secure multi-party computation, to enhance communication integrity and privacy, ultimately strengthening system resilience by eliminating single points of failure. A core aspect of this study is the novel D-CASBR framework, which integrates three essential components. First, it employs hybrid machine learning methods, such as ElasticNet and Gradient Boosting, to facilitate real-time anomaly detection, identifying unusual activities as they occur. Second, it utilizes a consortium blockchain to provide secure and transparent information exchange among authorized participants. Third, it implements a fog-enabled reputation system that uses distributed fog computing to effectively manage trust within the network. This comprehensive approach addresses latency issues found in conventional systems while significantly improving the reliability and efficacy of threat detection, achieving 95 percent anomaly detection accuracy with minimal false positives. The result is a substantial advancement in securing vehicular networks.https://www.mdpi.com/2032-6653/16/1/24vehicular ad hoc networks (VANETs)decentralized intrusion detection systems (D-IDSs)interconnectivityprivacy preservinghybrid machine learningfog computing |
| spellingShingle | Usman Tariq Tariq Ahamed Ahanger Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks World Electric Vehicle Journal vehicular ad hoc networks (VANETs) decentralized intrusion detection systems (D-IDSs) interconnectivity privacy preserving hybrid machine learning fog computing |
| title | Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks |
| title_full | Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks |
| title_fullStr | Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks |
| title_full_unstemmed | Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks |
| title_short | Enhancing Intelligent Transport Systems Through Decentralized Security Frameworks in Vehicle-to-Everything Networks |
| title_sort | enhancing intelligent transport systems through decentralized security frameworks in vehicle to everything networks |
| topic | vehicular ad hoc networks (VANETs) decentralized intrusion detection systems (D-IDSs) interconnectivity privacy preserving hybrid machine learning fog computing |
| url | https://www.mdpi.com/2032-6653/16/1/24 |
| work_keys_str_mv | AT usmantariq enhancingintelligenttransportsystemsthroughdecentralizedsecurityframeworksinvehicletoeverythingnetworks AT tariqahamedahanger enhancingintelligenttransportsystemsthroughdecentralizedsecurityframeworksinvehicletoeverythingnetworks |