Addressing syntactic privacy for privacy-preserving data analysis and data release
<p>Existing approaches to tackle the challenges of privacy-preserving data analysis and data release are subject to vulnerabilities from certain attacks (which is the case for syntactic privacy models) or suffer in terms of efficiency, scalability or utility (which is the case for techniques b...
Glavni avtor: | Ankele, R |
---|---|
Drugi avtorji: | Martinovic, I |
Format: | Thesis |
Jezik: | English |
Izdano: |
2020
|
Teme: |
Podobne knjige/članki
-
Trajectory-aware privacy-preserving method with local differential privacy in crowdsourcing
od: Yingcong Hong, et al.
Izdano: (2024-09-01) -
Data Sharing Privacy Metrics Model Based on Information Entropy and Group Privacy Preference
od: Yihong Guo, et al.
Izdano: (2023-03-01) -
Big healthcare data: preserving security and privacy
od: Karim Abouelmehdi, et al.
Izdano: (2018-01-01) -
A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing
od: Adrian Tobar Nicolau, et al.
Izdano: (2024-01-01) -
Review of semantic-based privacy-preserving approaches in LBS
od: Ming-jie MA, et al.
Izdano: (2016-12-01)