Lattice-based security classification system and method

Details Lattice-based security classification system and method Lattice-based security classification system and method

2005-07-26

2005-07-26

Jung, David (Department: 2134)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C712S200000, C713S152000

Reexamination Certificate

active

06922696

ABSTRACT:
Despite advances in recent years in the area of mandatory access control in database systems, today's information repositories remain vulnerable to inference and data association attacks that can result in serious information leakage. Without support for coping against these attacks, sensitive information can be put at risk because of release of other (less sensitive) related information. The ability to protect information disclosure against such improper leakage would be of great benefit to governmental, public, and private institutions, which are, today more than ever, required to make portions of their data available for external release. In accordance with the invention, a solution to the problem of classifying information by enforcing explicit data classification as well as inference and association constraints is provided. We formulate the problem of determining a classification that ensures satisfaction of the constraints, while at the same time guaranteeing that information will not be unnecessarily overclassified.

REFERENCES:
Theory and applications of attribute decomposition Rokach, L.; Mainon, O.; Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on Nov. 29-Dec. 2, 2001.
The research on the classification of the incomplete information system Zhang Min; Jia-Xing Cheng; Hong-Jun Wang; Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on, vol.: 6, Aug. 26-29, 2004.
Evolutionary automated classification Luchian, S.; Luchian, H.; Petriuc, M.; Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE.
http://www.intsci.ac.cn/shizz/pub/2002/icmla-hsc.pdf, He et al., The Multi-class Classification Method in Large Database Based on Hyper Surface.
http://www.cs/okstate.edu/˜jonyer/pub/flairs2000.pdf, Joyner et al., “Graph-based Hiierarchical Conceptual Clustering”.

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