ADVANCED PRIVACY SCHEME TO IMPROVE ROAD SAFETY IN SMART TRANSPORTATION SYSTEMS

In -Vehicle Ad-Hoc Network (VANET), vehicles continuously transmit and receive spatiotemporal data with neighboring vehicles, thereby establishing a comprehensive 360-degree traffic awareness system. Vehicular Network safety applications facilitate the transmission of messages between vehicles that...

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Main Authors: Fadhil A.M., Din N.M., Aripin N.B.M., Abed A.A.
Other Authors: 55375347700
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Published: Academy and Industry Research Collaboration Center (AIRCC) 2025
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spelling my.uniten.dspace-366852025-03-03T15:43:54Z ADVANCED PRIVACY SCHEME TO IMPROVE ROAD SAFETY IN SMART TRANSPORTATION SYSTEMS Fadhil A.M. Din N.M. Aripin N.B.M. Abed A.A. 55375347700 9335429400 35092180800 57197202721 In -Vehicle Ad-Hoc Network (VANET), vehicles continuously transmit and receive spatiotemporal data with neighboring vehicles, thereby establishing a comprehensive 360-degree traffic awareness system. Vehicular Network safety applications facilitate the transmission of messages between vehicles that are near each other, at regular intervals, enhancing drivers? contextual understanding of the driving environment and significantly improving traffic safety. Privacy schemes in VANETs are vital to safeguard vehicles? identities and their associated owners or drivers. Privacy schemes prevent unauthorized parties from linking the vehicle?s communications to a specific real-world identity by employing techniques such as pseudonyms, randomization, or cryptographic protocols. Nevertheless, these communications frequently contain important vehicle information that malevolent groups could use to Monitor the vehicle over a long period. The acquisition of this shared data has the potential to facilitate the reconstruction of vehicle trajectories, thereby posing a potential risk to the privacy of the driver. Addressing the critical challenge of developing effective and scalable privacy-preserving protocols for communication in vehicle networks is of the highest priority. These protocols aim to reduce the transmission of confidential data while ensuring the required level of communication. This paper aims to propose an Advanced Privacy Vehicle Scheme (APV) that periodically changes pseudonyms to protect vehicle identities and improve privacy. The APV scheme utilizes a concept called the silent period, which involves changing the pseudonym of a vehicle periodically based on the tracking of neighboring vehicles. The pseudonym is a temporary identifier that vehicles use to communicate with each other in a VANET. By changing the pseudonym regularly, the APV scheme makes it difficult for unauthorized entities to link a vehicle?s communications to its real-world identity. The proposed APV is compared to the SLOW, RSP, CAPS, and CPN techniques. The data indicates that the efficiency of APV is a better improvement in privacy metrics. It is evident that the AVP offers enhanced safety for vehicles during transportation in the smart city. ? (2024), (Academy and Industry Research Collaboration Center (AIRCC)). All rights reserved. Final 2025-03-03T07:43:54Z 2025-03-03T07:43:54Z 2024 Article 10.5121/ijcnc.2024.16205 2-s2.0-85190763661 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190763661&doi=10.5121%2fijcnc.2024.16205&partnerID=40&md5=f84e7315cf4aa2b0fcdd1cfbf80f14f4 https://irepository.uniten.edu.my/handle/123456789/36685 16 2 71 86 All Open Access; Gold Open Access Academy and Industry Research Collaboration Center (AIRCC) Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description In -Vehicle Ad-Hoc Network (VANET), vehicles continuously transmit and receive spatiotemporal data with neighboring vehicles, thereby establishing a comprehensive 360-degree traffic awareness system. Vehicular Network safety applications facilitate the transmission of messages between vehicles that are near each other, at regular intervals, enhancing drivers? contextual understanding of the driving environment and significantly improving traffic safety. Privacy schemes in VANETs are vital to safeguard vehicles? identities and their associated owners or drivers. Privacy schemes prevent unauthorized parties from linking the vehicle?s communications to a specific real-world identity by employing techniques such as pseudonyms, randomization, or cryptographic protocols. Nevertheless, these communications frequently contain important vehicle information that malevolent groups could use to Monitor the vehicle over a long period. The acquisition of this shared data has the potential to facilitate the reconstruction of vehicle trajectories, thereby posing a potential risk to the privacy of the driver. Addressing the critical challenge of developing effective and scalable privacy-preserving protocols for communication in vehicle networks is of the highest priority. These protocols aim to reduce the transmission of confidential data while ensuring the required level of communication. This paper aims to propose an Advanced Privacy Vehicle Scheme (APV) that periodically changes pseudonyms to protect vehicle identities and improve privacy. The APV scheme utilizes a concept called the silent period, which involves changing the pseudonym of a vehicle periodically based on the tracking of neighboring vehicles. The pseudonym is a temporary identifier that vehicles use to communicate with each other in a VANET. By changing the pseudonym regularly, the APV scheme makes it difficult for unauthorized entities to link a vehicle?s communications to its real-world identity. The proposed APV is compared to the SLOW, RSP, CAPS, and CPN techniques. The data indicates that the efficiency of APV is a better improvement in privacy metrics. It is evident that the AVP offers enhanced safety for vehicles during transportation in the smart city. ? (2024), (Academy and Industry Research Collaboration Center (AIRCC)). All rights reserved.
author2 55375347700
author_facet 55375347700
Fadhil A.M.
Din N.M.
Aripin N.B.M.
Abed A.A.
format Article
author Fadhil A.M.
Din N.M.
Aripin N.B.M.
Abed A.A.
spellingShingle Fadhil A.M.
Din N.M.
Aripin N.B.M.
Abed A.A.
ADVANCED PRIVACY SCHEME TO IMPROVE ROAD SAFETY IN SMART TRANSPORTATION SYSTEMS
author_sort Fadhil A.M.
title ADVANCED PRIVACY SCHEME TO IMPROVE ROAD SAFETY IN SMART TRANSPORTATION SYSTEMS
title_short ADVANCED PRIVACY SCHEME TO IMPROVE ROAD SAFETY IN SMART TRANSPORTATION SYSTEMS
title_full ADVANCED PRIVACY SCHEME TO IMPROVE ROAD SAFETY IN SMART TRANSPORTATION SYSTEMS
title_fullStr ADVANCED PRIVACY SCHEME TO IMPROVE ROAD SAFETY IN SMART TRANSPORTATION SYSTEMS
title_full_unstemmed ADVANCED PRIVACY SCHEME TO IMPROVE ROAD SAFETY IN SMART TRANSPORTATION SYSTEMS
title_sort advanced privacy scheme to improve road safety in smart transportation systems
publisher Academy and Industry Research Collaboration Center (AIRCC)
publishDate 2025
_version_ 1825816069700321280
score 13.244413