Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Practical Data-Oriented Microaggregation for Statistical Disclosure Control
IEEE Transactions on Knowledge and Data Engineering
Data Privacy through Optimal k-Anonymization
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Mondrian Multidimensional K-Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Relationships and data sanitization: a study in scarlet
Proceedings of the 2010 workshop on New security paradigms
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Privacy preservation is currently one of the key challenges in enterprise data management. Data Anonymization techniques address this by sanitizing and releasing anonymized data such that enterprises can share and disseminate sensitive information without compromising consumer privacy. However, current anonymization techniques are prone to attacks where-in an intruder can fuse external information with the anonymized data to infer sensitive information. In this paper, we pose and formulate the problem of Information Fusion based Privacy Attack. We experimentally demonstrate such an attack on a publicly available data set. We propose adaptive anonymization schemes to address this problem and experimentally demonstrate a prototype solution.