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Traian Marius Truta
Researcher at Northern Kentucky University
Publications - 47
Citations - 1358
Traian Marius Truta is an academic researcher from Northern Kentucky University. The author has contributed to research in topics: Information privacy & k-anonymity. The author has an hindex of 16, co-authored 46 publications receiving 1249 citations. Previous affiliations of Traian Marius Truta include Saint Petersburg State University & Wayne State University.
Papers
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Proceedings ArticleDOI
Privacy Protection: p-Sensitive k-Anonymity Property
Traian Marius Truta,B. Vinay +1 more
TL;DR: Two necessary conditions to achieve p-sensitive kanonymity property are presented, and used in developing algorithms to create masked microdata with p- sensitive k-anonymityproperty using generalization and suppression.
A Clustering Approach for Data and Structural Anonymity in Social Networks
Alina Campan,Traian Marius Truta +1 more
TL;DR: The development of a greedy privacy algorithm for anonymizing a social network and the introduction of a structural information loss measure that quantifies the amount of information lost due to edge generalization in the anonymization process are introduced.
Book ChapterDOI
Data and Structural k-Anonymity in Social Networks
Alina Campan,Traian Marius Truta +1 more
TL;DR: A greedy algorithm for anonymizing a social network and a measure that quantifies the information loss in the anonymization process due to edge generalization are presented.
Journal ArticleDOI
Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing
TL;DR: Two new privacy protection models are proposed called (p, α)-sensitive k-anonymity and (p+, α)- sensitive k-Anonymity, respectively, which allow us to release a lot more information without compromising privacy.
Proceedings ArticleDOI
Fighting fake news spread in online social networks: Actual trends and future research directions
TL;DR: How fake news spread in the current online social networks is presented and existing social network technologies such as influence maximization, information diffusion, and epidemiological models contributes to fake news creation and spreading are discussed.