Location privacy protection in VANETs considers preserving two types of information: the locations and identifications of users. However, existing solutions which either replace identifications by pseudonyms or hide locations in areas cannot be directly applied to geographic routing protocols since they degrade network performance. To address this issue, we proposed a location-preserved content...

The global economy of today, boosted by propagation of e-commerce, has elevated the privacy and security issues to a worldwide platform. E-commerce growth is strongest in the US and the European Union. Recently India and China have also become significant players in the global commercial setting. This research is exploratory in nature and attempts to examine privacy protection practices in the ...

Data release is likely to result in privacy disclosure, so appropriate privacy protection measures are required for various data release technologies in order to ensure the privacy and safety of information, while differential privacy as a reliable model for privacy protection is extensively researched and applied. This paper presents the histogram data publishing solutions under differential p...

Location-based Services (LBS) have brought the potential threats of mobile users’ sensitive personal information. Privacy-aware in LBS is including location privacy and query privacy. Unfortunately, existing privacy protection algorithms rarely pay attention to both of them. This paper proposes a novel privacy protection method which combines K-anonymity and L-diversity to protect both location...

The existing privacy protection schemes for Location-Based Service (LBS) only protect users' location or query privacy, which can not adopt both of the protections simultaneously in LBS system. Moreover, these cannot take into account spatial-temporal correlation and background knowledge. In response to above mentioned questions, Privacy Protection Scheme Based on Differential (DPLQ) is propose...