RcDT: Privacy preservation based on R-constrained dummy trajectory in mobile social networks

J Zhang, X Wang, Y Yuan, L Ni - IEEE Access, 2019 - ieeexplore.ieee.org
The boom of mobile devices and location-based services (LBSs) greatly enriches the mobile
social network (MSN) applications, which bring convenience to our daily life and …

Get in line: Ongoing co-presence verification of a vehicle formation based on driving trajectories

C Vaas, M Juuti, N Asokan… - 2018 IEEE European …, 2018 - ieeexplore.ieee.org
Intelligent transportation systems and the advent of smart cities have created a renewed
research interest in vehicular networks (VANET). These ad-hoc networks are the key …

A privacy preserving algorithm based on R-constrained dummy trajectory in mobile social network

L Ni, Y Yuan, X Wang, J Yu, J Zhang - Procedia Computer Science, 2018 - Elsevier
Recently the research of location privacy preserving has become a hot spot. Location
privacy preserving involves not only a single location privacy but also the trajectory privacy …

[PDF][PDF] Inferring sensitive information from seemingly innocuous smartphone data.

A Quattrone - 2016 - academia.edu
Smartphones have become ubiquitous and provide considerable benefits for users.
Personal data considered both sensitive and non-sensitive is commonly stored on …

Privacy in location-based services and their criticality based on usage context

T Lorenz, I Schiering - Privacy and Identity Management. Data for Better …, 2020 - Springer
Location based services are an important trend for smart city services, mobility and
navigation services, fitness apps and augmented reality applications. Because of the …

Security and privacy in location-aware mobile systems

C Vaas - 2018 - ora.ox.ac.uk
For centuries, methods to obtain location information were crucial for our economic success.
While initially requiring expert training and cumbersome tools like astrolabes and …