This paper presents the information-driven distributed genetic algorithm (ID-DGA). The proposed algorithm optimizes anonymization solutions using a combination of attribute generalization and record suppression techniques. ID-DGA is designed based on a distributed population model to improve population diversity.
Jan 15, 2024
Nov 7, 2022 · In this paper, an information-driven genetic algorithm has been designed to achieve optimal anonymization based on attribute generalization and ...
In this paper, an information-driven genetic algorithm (ID-GA) is designed to achieve optimal anonymization based on attribute generalization and record ...
Jan 15, 2024 · This paper presents the information-driven distributed genetic algorithm (ID-DGA). The proposed algorithm optimizes anonymization solutions ...
This paper presents an information-driven distributed genetic algorithm (ID-DGA) that aims to achieve optimal anonymization through attribute generalization and ...
Feb 25, 2024 · The proposed algorithm incorporates various components, including an information-driven crossover operator, an information-driven mutation ...
An information-driven genetic algorithm for privacy-preserving data publishing ... An information-driven genetic algorithm for privacy-preserving data publishing.
Privacy-preserving data publishing: an information-driven distributed genetic algorithm ... This paper presents an information-driven distributed genetic ...
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An Information-Driven Genetic Algorithm for Privacy-Preserving Data Publishing ... preserving data publishing: an information-driven distributed genetic algorithm.
ID-DGA uses genetic algorithms and a distributed population model to optimize anonymization solutions through attribute generalization and record suppression.