Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review
Location privacy is critical in vehicular networks, where drivers' trajectories and personal
information can be exposed, allowing adversaries to launch data and physical attacks that …
information can be exposed, allowing adversaries to launch data and physical attacks that …
ELCPAS: A new efficient lightweight certificateless conditional privacy preserving authentication scheme for IoV
This paper proposes a new efficient certificateless conditional privacy preserving
authentication (CL-CPPA) scheme named ELCPAS, which is pairing-free, energy-efficient …
authentication (CL-CPPA) scheme named ELCPAS, which is pairing-free, energy-efficient …
An efficient and privacy-preserving information reporting framework for traffic monitoring in vehicular networks
Traffic monitoring services show great potential for improving traffic efficiency in vehicular
networks. With the assistance of 5G innovation, vehicles can report information such as …
networks. With the assistance of 5G innovation, vehicles can report information such as …
Protect your data and I'll rank its utility: A framework for utility analysis of anonymized mobility data for smart city applications
When designing smart cities' building blocks, mobility data plays a fundamental role in
applications and services. However, mobility data usually comes with unrestricted location of …
applications and services. However, mobility data usually comes with unrestricted location of …
[HTML][HTML] A hierarchical distributed trusted location service achieving location k-anonymity against the global observer
As widely known in the literature, location-based services can seriously threaten users'
privacy. Privacy-aware location-based services can be obtained by protecting the user's …
privacy. Privacy-aware location-based services can be obtained by protecting the user's …
Data privacy for Mobility as a Service
Z Garroussi, A Legrain, S Gambs, V Gautrais… - arxiv preprint arxiv …, 2023 - arxiv.org
Mobility as a Service (MaaS) is revolutionizing the transportation industry by offering
convenient, efficient and integrated transportation solutions. However, the extensive use of …
convenient, efficient and integrated transportation solutions. However, the extensive use of …
Protect your Data and I'll Show Its Utility: A Practical View about Mix-zones Impacts on Mobility Data for Smart City Applications
When designing smart cities' building blocks, mobility data plays a fundamental role in
applications and services. However, mobility data usually comes with unrestricted location of …
applications and services. However, mobility data usually comes with unrestricted location of …
DLPriv: Deep Learning Based Dynamic Location Privacy Mechanism for LBS in Internet-of-Vehicles
Z Wang, B Ma, Z Liu, Y Zeng, Z Wang… - … on Networking and …, 2023 - ieeexplore.ieee.org
In the Internet of Vehicles (IoV), location-based service providers rely on collecting and
analyzing user-generated trajectory data to deliver high-quality experiences anytime and …
analyzing user-generated trajectory data to deliver high-quality experiences anytime and …
Protect your data and I'll rank its utility:: A framework for utility analysis of anonymized mobility data for smart city applications
When designing smart cities' building blocks, mobility data plays a fundamental role in
applications and services. However, mobility data usually comes with unrestricted location of …
applications and services. However, mobility data usually comes with unrestricted location of …