User-Review Social Networks (URSNs) now become the targets of Sybil attacks, where fake
reviews are posted by attackers to raise the reputation of listed services or products. Unlike …

Recent explorative growth in telecommunication and telepathy technology has flooded the
market with location-based data, which paves the way for location-aware prediction …

For academic research and business intelligence, trajectory data has been widely collected
and analyzed. Releasing trajectory data to a third party may lead to serious privacy leakage …

Purpose In the paradox of personalized services and privacy risks, what factors influence
users' decisions is considered an interesting issue worth exploring. The current study aims …

The rapid growth in the usage of location-based services has resulted in extensive research
on users' trajectory data publishing. But, a key concern here is a potential breach of user …

Rich human mobility datasets are fundamental for evaluating algorithms pertaining to
geographic information systems. Unfortunately, existing mobility datasets--that are available …

The dynamic queries by wireless mobile network users, will generate the social data with
location tags and tracking data sequences, which enable the adversary can infer privacy …

With the prevailing use of smartphones and location‐based services, vast amounts of
trajectory data are collected and used for many applications. When trajectory data are sent …

With the advancing of location-detection technologies and the increasing popularity of
mobile phones and other location-aware devices, trajectory data is continuously growing …

Realistic models of human mobility are critical for modern day applications, specifically for
recommendation systems, resource planning and process optimization domains. Given the …