To release micro-data tables containing sensitive data, generalization algorithms are usually required for satisfying given privacy properties, such as k-anonymity and l-diversity....
Lei Zhang 0004, Lingyu Wang, Sushil Jajodia, Alexa...
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
Data distortion is a critical component to preserve privacy in security-related data mining applications, such as in data miningbased terrorist analysis systems. We propose a spars...
Confidentiality-preserving refinement describes a relation between a specification and an implementation that ensures that all confidentiality properties required in the specificat...
The rapid evolution of Design Patterns has hampered the benefits gained from using Design Patterns. The increase in the number of Design Patterns makes a common vocabulary unmanag...