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Filters: Author is Srivastava, G.  [Clear All Filters]
2021-02-16
Wu, J. M.-T., Srivastava, G., Pirouz, M., Lin, J. C.-W..  2020.  A GA-based Data Sanitization for Hiding Sensitive Information with Multi-Thresholds Constraint. 2020 International Conference on Pervasive Artificial Intelligence (ICPAI). :29—34.
In this work, we propose a new concept of multiple support thresholds to sanitize the database for specific sensitive itemsets. The proposed method assigns a stricter threshold to the sensitive itemset for data sanitization. Furthermore, a genetic-algorithm (GA)-based model is involved in the designed algorithm to minimize side effects. In our experimental results, the GA-based PPDM approach is compared with traditional compact GA-based model and results clearly showed that our proposed method can obtain better performance with less computational cost.