An enhanced dynamic KC-slice model for privacy preserving data publishing with multiple sensitive attributes by inducing sensitivity
Sign Up to like & getrecommendations! Published in 2018 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2018.09.013
Abstract: Abstract Privacy Preserving Data Publishing (PPDP) is an important aspect of real world scenarios. PPDP moves the researcher in the right direction by maintaining privacy and utility trade-off while publishing the data. This paper presents… read more here.
Keywords: sensitive attributes; multiple sensitive; privacy; slice model ... See more keywords
Efficient and Secure Outsourcing of Differentially Private Data Publishing With Multiple Evaluators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2020.3015886
Abstract: Since big data becomes a main impetus to the next generation of IT industry, data privacy has received considerable attention in recent years. To deal with the privacy challenges, differential privacy has been widely discussed… read more here.
Keywords: multiple evaluators; secure; data publishing; privacy ... See more keywords
Privacy Preserving Data Publishing for Heterogeneous Multiple Sensitive Attributes with Personalized Privacy and Enhanced Utility
Sign Up to like & getrecommendations! Published in 2020 at "Systematic Reviews in Pharmacy"
DOI: 10.31838/srp.2020.9.151
Abstract: In recent years, personal data availability has become vast, which leads to the concept of Privacy-preserving. Privacy-Preserving is an essential issue in all research fields. Many privacy methods are available for privacy-preserving data publishing (PPDP);… read more here.
Keywords: sensitive attributes; privacy preserving; data publishing; preserving data ... See more keywords
Structure-Attribute Social Network Graph Data Publishing Satisfying Differential Privacy
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14122531
Abstract: With the development of big data, data collection and publishing are symmetrical. The purpose of data collection is to better publish data. To better collect user data and promote data analysis, publishing massive amounts of… read more here.
Keywords: social network; network; data publishing; attribute social ... See more keywords