Publication detail

Privacy-Preserving Solution for Vehicle Parking Services Complying with EU Legislation

DZURENDA, P. JACQUES, F. KNOCKAERT, M. LAURENT, M. MALINA, L. MATULEVICIUS, R. TANG, Q. TASIDOU, A.

Original Title

Privacy-Preserving Solution for Vehicle Parking Services Complying with EU Legislation

Type

journal article in Web of Science

Language

English

Original Abstract

Nowadays, a lot of modern cities adopt online smart parking services as best practices. Citizens can easily access these services using their smartphones or the infotainment panels in their cars. These services' primary objective is to give drivers the ability to quickly identify free parking slots, which should reduce parking time, save fuel, and relieve traffic in urban areas. However, the privacy offered by these services should be comparable to that of the standard paper-based parking solutions offered by parking ticket machines. On the other hand, a privacy-preserving smart parking service's design may raise a number of issues, including how to prevent double or multiple uses of parking tickets, how to prevent user tracking and profiling, how to revoke malicious users, how to handle data statistics without violating users' privacy, and how to comply with regulations like the General Data Protection Regulation (GDPR). In this article, we present multidisciplinary research on a comprehensive vehicle parking system that protects users' privacy. The research includes a range of topics, from the examination of regulatory compliance to the design of privacy-preserving parking registration and vehicle parking services to the implementation of privacy-preserving parking data processing features for data analysts. We provide a security analysis of our concept as well as several experimental results.

Keywords

Intelligent infrastructure;Privacy preserving technology;Legislation;Privacy by design;Privacy preserving satistical analysis;Parking services

Authors

DZURENDA, P.; JACQUES, F.; KNOCKAERT, M.; LAURENT, M.; MALINA, L.; MATULEVICIUS, R.; TANG, Q.; TASIDOU, A.

Released

28. 10. 2022

Publisher

PeerJ Comput. Sci.

ISBN

2376-5992

Periodical

PeerJ Computer Science

Number

10

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

47

Pages count

47

URL

BibTex

@article{BUT179805,
  author="Petr {Dzurenda} and Florian {Jacques} and Manon {Knockaert} and Maryline {Laurent} and Lukáš {Malina} and Raimundas {Matulevicius} and Qiang {Tang} and Aimilia {Tasidou}",
  title="Privacy-Preserving Solution for Vehicle Parking Services Complying with EU Legislation",
  journal="PeerJ Computer Science",
  year="2022",
  number="10",
  pages="1--47",
  doi="10.7717/peerj-cs.1165",
  issn="2376-5992",
  url="https://peerj.com/articles/cs-1165/"
}