Anonymity Assurance Using Efficient Pseudonym Consumption in Internet of Vehicles.
BSM
IoVs
adversary
pseudonym consumption
traceability
vehicle anonymization
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
31 May 2023
31 May 2023
Historique:
received:
06
03
2023
revised:
24
04
2023
accepted:
23
05
2023
medline:
12
6
2023
pubmed:
10
6
2023
entrez:
10
6
2023
Statut:
epublish
Résumé
The Internet of vehicles (IoVs) is an innovative paradigm which ensures a safe journey by communicating with other vehicles. It involves a basic safety message (BSM) that contains sensitive information in a plain text that can be subverted by an adversary. To reduce such attacks, a pool of pseudonyms is allotted which are changed regularly in different zones or contexts. In base schemes, the BSM is sent to neighbors just by considering their speed. However, this parameter is not enough because network topology is very dynamic and vehicles can change their route at any time. This problem increases pseudonym consumption which ultimately increases communication overhead, increases traceability and has high BSM loss. This paper presents an efficient pseudonym consumption protocol (EPCP) which considers the vehicles in the same direction, and similar estimated location. The BSM is shared only to these relevant vehicles. The performance of the purposed scheme in contrast to base schemes is validated via extensive simulations. The results prove that the proposed EPCP technique outperformed compared to its counterparts in terms of pseudonym consumption, BSM loss rate and achieved traceability.
Identifiants
pubmed: 37299944
pii: s23115217
doi: 10.3390/s23115217
pmc: PMC10256095
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : King Saud University
ID : RSPD2023R521
Références
Sensors (Basel). 2019 Jan 15;19(2):
pubmed: 30650658
Sensors (Basel). 2021 Apr 01;21(7):
pubmed: 33916309
Sensors (Basel). 2021 Apr 28;21(9):
pubmed: 33925131