TY - JOUR
T1 - Privacy-preserving solution for vehicle parking services complying with EU legislation
AU - Dzurenda, Petr
AU - Jacques, Florian
AU - Knockaert, Manon
AU - Laurent, Maryline
AU - Malina, Lukas
AU - Matulevicius, Raimundas
AU - Tang, Qiang
AU - Tasidou, Aimilia
N1 - Publisher Copyright:
© 2022 Dzurenda et al.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Today, many 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.
AB - Today, many 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.
KW - Intelligent infrastructure
KW - Legislation
KW - Parking services
KW - Privacy by design
KW - Privacy preserving statistical analysis
KW - Privacy preserving technology
U2 - 10.7717/PEERJ-CS.1165
DO - 10.7717/PEERJ-CS.1165
M3 - Article
AN - SCOPUS:85147798453
SN - 2376-5992
VL - 8
JO - PeerJ Computer Science
JF - PeerJ Computer Science
M1 - e1165
ER -