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» Privacy Enhanced Technologies: Methods - Markets - Misuse
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SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
15 years 5 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
ESWS
2006
Springer
15 years 8 months ago
Semantic Web Policies - A Discussion of Requirements and Research Issues
Policies are pervasive in web applications. They play crucial roles in enhancing security, privacy and usability of distributed services. There has been extensive research in the a...
Piero A. Bonatti, Claudiu Duma, Norbert E. Fuchs, ...
WWW
2008
ACM
16 years 5 months ago
Privacy-enhanced sharing of personal content on the web
Publishing personal content on the web is gaining increased popularity with dramatic growth in social networking websites, and availability of cheap personal domain names and host...
Mohammad Mannan, Paul C. van Oorschot
CIKM
2009
Springer
15 years 11 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
ISSE
2010
15 years 2 months ago
URDAD as a semi-formal approach to analysis and design
The Use Case, Responsibility Driven Analysis and Design (URDAD) methodology is a methodology for technology neutral design generating the Platform Independent Model of the Object M...
Fritz Solms, Dawid Loubser