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Optimizing Task Location Privacy in Mobile Crowdsensing Systems
IEEE Transactions on Industrial Informatics, 2022The location information for tasks may expose sensitive information, which impedes the practical use of mobile crowdsensing in the industrial Internet.
Xuewen Dong +6 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2021
With increasing popularity of related applications of mobile crowdsensing, especially in the field of Internet of Vehicles (IoV), task allocation has attracted wide attention.
Yongfeng Qian +5 more
semanticscholar +1 more source
With increasing popularity of related applications of mobile crowdsensing, especially in the field of Internet of Vehicles (IoV), task allocation has attracted wide attention.
Yongfeng Qian +5 more
semanticscholar +1 more source
2016 IEEE 55th Conference on Decision and Control (CDC), 2016
We study the problem of releasing private data where the severity of the privacy concerns depends on the data itself. As a working example, we focus on the problem where a user shares an approximation of her private GPS location with a location-based service under privacy constraints that depend on the population density at user's current location ...
Fragkiskos Koufogiannis +1 more
openaire +1 more source
We study the problem of releasing private data where the severity of the privacy concerns depends on the data itself. As a working example, we focus on the problem where a user shares an approximation of her private GPS location with a location-based service under privacy constraints that depend on the population density at user's current location ...
Fragkiskos Koufogiannis +1 more
openaire +1 more source
LocJury: An IBN-Based Location Privacy Preserving Scheme for IoCV
IEEE transactions on intelligent transportation systems (Print), 2021Stemming from the recent evolutionary progress of the 5G wireless communication and Internet of Things (IoT) relevant technologies, the vision of the Internet of Connected Vehicles (IoCV) has become more apparent.
Yuhang Wang +4 more
semanticscholar +1 more source
ULPT: A User-Centric Location Privacy Trading Framework for Mobile Crowd Sensing
IEEE Transactions on Mobile Computing, 2021Mobile crowd sensing (MCS) arises as a promising data collection paradigm that leverages the power of ubiquitous mobile devices to acquire rich information regarding their surrounding environment.
Wenqiang Jin +4 more
semanticscholar +1 more source
Mobile Semantic-Aware Trajectory for Personalized Location Privacy Preservation
IEEE Internet of Things Journal, 2021Synthesizing a fake trajectory with consistent lifestyle and meaningful mobility as the actual one is the most popular way to protect the location privacy in trajectory sharing. Recent location privacy preservation shows a strong personalized requirement
Guoying Qiu +4 more
semanticscholar +1 more source
Location Obfuscation for Location Data Privacy
2015 IEEE World Congress on Services, 2015Advances in wireless internet, sensor technologies, mobile technologies, and global positioning technologies have renewed interest in location based services (LBSs) among mobile users. LBSs on smartphones allow consumers to locate nearby products and services, in exchange of their location information.
Vaibhav Ankush Kachore +2 more
openaire +1 more source
CHI '13 Extended Abstracts on Human Factors in Computing Systems, 2013
The privacy problems associated with disclosing location information have repeatedly been the subject of research during the past decade. Yet, only the increasing adoption of smartphones today unveils real world implications, since a large number of users currently use location-based services and GPS-enabled devices for a multitude of purposes ...
Benjamin Henne +2 more
openaire +1 more source
The privacy problems associated with disclosing location information have repeatedly been the subject of research during the past decade. Yet, only the increasing adoption of smartphones today unveils real world implications, since a large number of users currently use location-based services and GPS-enabled devices for a multitude of purposes ...
Benjamin Henne +2 more
openaire +1 more source
Reinforcement learning-based sensitive semantic location privacy protection for VANETs
China Communications, 2021Location-based services (LBS) in vehicular ad hoc networks (VANETs) must protect users' privacy and address the threat of the exposure of sensitive locations during LBS requests.
Minghui Min +4 more
semanticscholar +1 more source
Blockchain Enabled Trust-Based Location Privacy Protection Scheme in VANET
IEEE Transactions on Vehicular Technology, 2020While enjoying the convenience brought by Location Based Service (LBS), the location privacy of vehicles in VANET may be disclosed. Distributed k-anonymity, as one of the most popular privacy protection methods, fails to take the trustworthiness of ...
Bin Luo +4 more
semanticscholar +1 more source