P2SF-IoV: A Privacy-Preservation-Based Secured Framework for Internet of Vehicles
With the development of Internet of Vehicles (IoV), the integration of Internet of Things (IoT) and manual vehicles becomes inevitable in Intelligent Transportation Systems (ITS). In ITS, the IoVs communicate wirelessly with other IoVs, Road Side Unit (RSU) and Cloud Server using an open channel Int...
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Published in | IEEE transactions on intelligent transportation systems Vol. 23; no. 11; pp. 22571 - 22582 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
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Abstract | With the development of Internet of Vehicles (IoV), the integration of Internet of Things (IoT) and manual vehicles becomes inevitable in Intelligent Transportation Systems (ITS). In ITS, the IoVs communicate wirelessly with other IoVs, Road Side Unit (RSU) and Cloud Server using an open channel Internet. The openness of above participating entities and their communication technologies brings challenges such as security vulnerabilities, data privacy, transparency, verifiability, scalability, and data integrity among participating entities. To address these challenges, we present a Privacy-Preserving based Secured Framework for Internet of Vehicles (P2SF-IoV). P2SF-IoV integrates blockchain and deep learning technique to overcome aforementioned challenges, and works on two modules. First, a blockchain module is developed to securely transmit the data between IoV-RSU-Cloud. Second, a deep learning module is designed that uses the data from blockchain module to detect intrusion and its performance is assessed using two network datasets IoT-Botnet and ToN-IoT. In contrast with other peer privacy-preserving intrusion detection strategies, the P2SF-IoV approach is compared, and the experimental results reveal that in both blockchain and non-blockchain based solutions, the proposed P2SF-IoV framework outperforms. |
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AbstractList | With the development of Internet of Vehicles (IoV), the integration of Internet of Things (IoT) and manual vehicles becomes inevitable in Intelligent Transportation Systems (ITS). In ITS, the IoVs communicate wirelessly with other IoVs, Road Side Unit (RSU) and Cloud Server using an open channel Internet. The openness of above participating entities and their communication technologies brings challenges such as security vulnerabilities, data privacy, transparency, verifiability, scalability, and data integrity among participating entities. To address these challenges, we present a Privacy-Preserving based Secured Framework for Internet of Vehicles (P2SF-IoV). P2SF-IoV integrates blockchain and deep learning technique to overcome aforementioned challenges, and works on two modules. First, a blockchain module is developed to securely transmit the data between IoV-RSU-Cloud. Second, a deep learning module is designed that uses the data from blockchain module to detect intrusion and its performance is assessed using two network datasets IoT-Botnet and ToN-IoT. In contrast with other peer privacy-preserving intrusion detection strategies, the P2SF-IoV approach is compared, and the experimental results reveal that in both blockchain and non-blockchain based solutions, the proposed P2SF-IoV framework outperforms. |
Author | Kumar, Neeraj Kumar, Randhir Kumar, Prabhat Tripathi, Rakesh Gupta, Govind P. |
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References | ref13 ref12 ref15 ref14 ref30 ref11 ref10 keshk (ref18) 2018 ref2 ref1 ref17 ref16 ref19 ullah (ref32) 2020 kumar (ref26) 2020 ref23 moustafa (ref31) 2019 ref25 ref20 ref22 ref21 ref28 ref27 ref29 ref8 ref7 ref9 lin (ref24) 2020 ref4 ref3 ref6 ref5 |
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SubjectTerms | Blockchain Blockchains Computer architecture Cryptography Cybersecurity Deep learning Intelligent transportation systems Internet of Things Internet of Vehicles Internet of Vehicles (IoV) Intrusion detection intrusion detection system (IDS) Intrusion detection systems Malware Modules Open channels Privacy privacy-preservation Roadsides Security Smart contracts Vehicles |
Title | P2SF-IoV: A Privacy-Preservation-Based Secured Framework for Internet of Vehicles |
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