Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Inference Control in Statistical Databases, From Theory to Practice
Inference Control in Statistical Databases, From Theory to Practice
Tools and Strategies to Protect Multiples Tables with the GHQUAR Cell Suppression Engine
Inference Control in Statistical Databases, From Theory to Practice
HiTaS: A Heuristic Approach to Cell Suppression in Hierarchical Tables
Inference Control in Statistical Databases, From Theory to Practice
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Solving the Cell Suppression Problem on Tabular Data with Linear Constraints
Management Science
Privacy in Statistical Databases: CASC Project International Workshop, PSD 2004, Barcelona, Spain, June 9-11, 2004, Proceedings (Lecture Notes in Computer Science)
Computing minimal doubly resolving sets of graphs
Computers and Operations Research
A genetic approach to statistical disclosure control
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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Cell suppression is one of the most frequently used techniques to prevent the disclosure of sensitive data in statistical tables. Finding the minimum cost set of nonsensitive entries to suppress, along with the sensitive ones, in order to make a table safe for publication, is a NP-hard problem, denoted the cell suppression problem (CSP). In this paper, we present GenSup, a new heuristic for the CSP, which combines the general features of genetic algorithms with safety conditions derived by several authors. The safety conditions are used to develop fast procedures to generate multiple initial solutions and also to recombine, to perturb and to repair solutions in order to improve their quality. The results obtained for 300 tables, with up to more than 90,000 entries, show that GenSup is very effective at finding low-cost sets of complementary suppressions to protect confidential data in two-dimensional tables.