Related references
Note: Only part of the references are listed.Constructing dummy query sequences to protect location privacy and query privacy in location-based services
Zongda Wu et al.
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2021)
ESPPTD:An efficient slicing-based privacy-preserving truth discovery in mobile crowd sensing
Chengmei Lv et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Inferring ground truth from crowdsourced data under local attribute differential privacy
Di Wang et al.
THEORETICAL COMPUTER SCIENCE (2021)
An effective approach for the protection of user commodity viewing privacy in e-commerce website
Zongda Wu et al.
KNOWLEDGE-BASED SYSTEMS (2021)
A Basic Framework for Privacy Protection in Personalized Information Retrieval: An Effective Framework for User Privacy Protection
Zongda Wu et al.
JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING (2021)
Privacy-Aware and Efficient Mobile Crowdsensing with Truth Discovery
Yifeng Zheng et al.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (2020)
A user sensitive subject protection approach for book search service
Zongda Wu et al.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2020)
A dummy-based user privacy protection approach for text information retrieval
Zongda Wu et al.
KNOWLEDGE-BASED SYSTEMS (2020)
A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services
Zongda Wu et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Towards Confidence Interval Estimation in Truth Discovery
Houping Xiao et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2019)
PatternFinder: Pattern discovery for truth discovery
Chen Ye et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Efficient and Privacy-Preserving Truth Discovery in Mobile Crowd Sensing Systems
Guowen Xu et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Privacy-Preserving Truth Discovery in Crowd Sensing Systems
Chenglin Miao et al.
ACM TRANSACTIONS ON SENSOR NETWORKS (2019)
RTPT: A framework for real-time privacy-preserving truth discovery on crowdsensed data streams
Yuxian Liu et al.
COMPUTER NETWORKS (2019)
LPTD: Achieving lightweight and privacy-preserving truth discovery in CIoT
Chuan Zhang et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
An effective approach for the protection of privacy text data in the CloudDB
Zongda Wu et al.
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2018)
Crowdsourcing based scientific issue tracking with topic analysis
Mucheol Kim et al.
APPLIED SOFT COMPUTING (2018)
Learning the Truth Privately and Confidently: Encrypted Confidence-Aware Truth Discovery in Mobile Crowdsensing
Yifeng Zheng et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2018)
Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation
Zongda Wu et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2018)
Constructing plausible innocuous pseudo queries to protect user query intention
Zongda Wu et al.
INFORMATION SCIENCES (2015)
Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems
Chenglin Miao et al.
SENSYS'15: PROCEEDINGS OF THE 13TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS (2015)