A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANET
In the near future, intelligent vehicles will be part of the Internet of Things (IoT) and will offer valuable services and opportunities that could revolutionise human life in smart cities. The Vehicular Ad-hoc Network (VANET) is the core structure of intelligent vehicles. It ensures the accuracy an...
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9446888/ |
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| author | Abdullah Alharthi Qiang Ni Richard Jiang |
| author_facet | Abdullah Alharthi Qiang Ni Richard Jiang |
| author_sort | Abdullah Alharthi |
| collection | DOAJ |
| description | In the near future, intelligent vehicles will be part of the Internet of Things (IoT) and will offer valuable services and opportunities that could revolutionise human life in smart cities. The Vehicular Ad-hoc Network (VANET) is the core structure of intelligent vehicles. It ensures the accuracy and security of communication in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) modes to enhance road safety and decrease traffic congestion. However, VANET is subject to security vulnerabilities such as denial-of-service (DoS), replay attacks and Sybil attacks that may undermine the security and privacy of the network. Such issues may lead to the transmission of incorrect information from a malicious node to other nodes in the network. In this paper, we present a biometrics blockchain (BBC) framework to secure data sharing among vehicles in VANET and to retain statuary data in a conventional and trusted system. In the proposed framework, we take advantage of biometric information to keep a record of the genuine identity of the message sender, thus preserving privacy. Therefore, the proposed BBC scheme establishes security and trust between vehicles in VANET alongside the capacity to trace identities whenever required. Simulations in OMNeT++, veins and SUMO were carried out to demonstrate the viability of the proposed framework using the urban mobility model. The performance of the framework is evaluated in terms of packet delivery rate, packet loss rate and computational cost. The results show that our novel model is superior to existing approaches. |
| format | Article |
| id | doaj-art-d97075bc677d4dd1a7655917ea8360e6 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d97075bc677d4dd1a7655917ea8360e62024-12-11T00:02:20ZengIEEEIEEE Access2169-35362021-01-019872998730910.1109/ACCESS.2021.30862259446888A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANETAbdullah Alharthi0https://orcid.org/0000-0002-7725-2324Qiang Ni1https://orcid.org/0000-0002-4593-1656Richard Jiang2https://orcid.org/0000-0003-1721-9474School of Computing and Commutations, Lancaster University, Lancaster, U.K.School of Computing and Commutations, Lancaster University, Lancaster, U.K.School of Computing and Commutations, Lancaster University, Lancaster, U.K.In the near future, intelligent vehicles will be part of the Internet of Things (IoT) and will offer valuable services and opportunities that could revolutionise human life in smart cities. The Vehicular Ad-hoc Network (VANET) is the core structure of intelligent vehicles. It ensures the accuracy and security of communication in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) modes to enhance road safety and decrease traffic congestion. However, VANET is subject to security vulnerabilities such as denial-of-service (DoS), replay attacks and Sybil attacks that may undermine the security and privacy of the network. Such issues may lead to the transmission of incorrect information from a malicious node to other nodes in the network. In this paper, we present a biometrics blockchain (BBC) framework to secure data sharing among vehicles in VANET and to retain statuary data in a conventional and trusted system. In the proposed framework, we take advantage of biometric information to keep a record of the genuine identity of the message sender, thus preserving privacy. Therefore, the proposed BBC scheme establishes security and trust between vehicles in VANET alongside the capacity to trace identities whenever required. Simulations in OMNeT++, veins and SUMO were carried out to demonstrate the viability of the proposed framework using the urban mobility model. The performance of the framework is evaluated in terms of packet delivery rate, packet loss rate and computational cost. The results show that our novel model is superior to existing approaches.https://ieeexplore.ieee.org/document/9446888/Vehicle drivingintelligent vehiclesvehicular and wireless technologiesVANETbiometric blockchainprivacy preservation |
| spellingShingle | Abdullah Alharthi Qiang Ni Richard Jiang A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANET IEEE Access Vehicle driving intelligent vehicles vehicular and wireless technologies VANET biometric blockchain privacy preservation |
| title | A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANET |
| title_full | A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANET |
| title_fullStr | A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANET |
| title_full_unstemmed | A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANET |
| title_short | A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANET |
| title_sort | privacy preservation framework based on biometrics blockchain bbc to prevent attacks in vanet |
| topic | Vehicle driving intelligent vehicles vehicular and wireless technologies VANET biometric blockchain privacy preservation |
| url | https://ieeexplore.ieee.org/document/9446888/ |
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