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 …
Vehicle Trajectory Obfuscation and Detection
A vehicle in road networks shares location data with other vehicles and location-based
services (LBS) through Internet-of-vehicles (IoV). By analyzing the location data from …
services (LBS) through Internet-of-vehicles (IoV). By analyzing the location data from …
Location Privacy Protection in Vehicular Networks
B Ma - 2023 - opus.lib.uts.edu.au
Location privacy is of utmost importance in vehicular networks, where drivers' trajectories
and personal information can be exposed, posing threats to drivers' safety and personal …
and personal information can be exposed, posing threats to drivers' safety and personal …
[PDF][PDF] Phishing Attack Mitigation: A Review and Multiclass Framework Utilizing Deep Learning Techniques
AR Egigogo, I Ismaila, MOAOA Ojeniyi, J Adebayo… - capdr.org
Recently, phishing attacks have become one of the significant cybersecurity threats,
exploiting deception and human vulnerabilities to access sensitive information. This study …
exploiting deception and human vulnerabilities to access sensitive information. This study …