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The long road to computational location privacy: A survey
The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …
the usage of mobile applications, among which many use location to provide geolocated …
Securing android: a survey, taxonomy, and challenges
Recent years have seen a global adoption of smart mobile devices, particularly those based
on Android. However, Android's widespread adoption is marred with increasingly rampant …
on Android. However, Android's widespread adoption is marred with increasingly rampant …
The security and privacy of mobile-edge computing: An artificial intelligence perspective
Mobile-edge computing (MEC) is a new computing paradigm that enables cloud computing
and information technology (IT) services to be delivered at the network's edge. By shifting …
and information technology (IT) services to be delivered at the network's edge. By shifting …
Privacy leakage of location sharing in mobile social networks: Attacks and defense
Along with the popularity of mobile social networks (MSNs) is the increasing danger of
privacy breaches due to user location exposures. In this work, we take an initial step towards …
privacy breaches due to user location exposures. In this work, we take an initial step towards …
Inferring user routes and locations using zero-permission mobile sensors
Leakage of user location and traffic patterns is a serious security threat with significant
implications on privacy as reported by recent surveys and identified by the US Congress …
implications on privacy as reported by recent surveys and identified by the US Congress …
PriRadar: A privacy-preserving framework for spatial crowdsourcing
Privacy leakage is a serious issue in spatial crowdsourcing in various scenarios. In this
paper, we study privacy protection in spatial crowdsourcing. The main challenge is to …
paper, we study privacy protection in spatial crowdsourcing. The main challenge is to …
Analyzing user perspectives on mobile app privacy at scale
In this paper we present a methodology to analyze users' concerns and perspectives about
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …
Location privacy protection in vehicle-based spatial crowdsourcing via geo-indistinguishability
Nowadays, vehicles have been increasingly adopted in many spatial crowdsourcing (SC)
applications. Similar to other SC applications, location privacy is of great concern to vehicle …
applications. Similar to other SC applications, location privacy is of great concern to vehicle …