ORCID Profile
0000-0001-8195-1630
Current Organisations
Cybernetica (Estonia)
,
Samsung Display Co. Ltd.
,
Osong Medical Innovation Foundation
,
POSTECH Biotech Center
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Publisher: The Optical Society
Date: 14-01-2015
DOI: 10.1364/BOE.6.000524
Publisher: MDPI AG
Date: 15-08-2017
DOI: 10.3390/JSAN6030017
Publisher: Wiley
Date: 22-10-2020
DOI: 10.1002/ETT.4130
Abstract: In a real‐world scenario for privacy‐preserving data publishing, the original data are anonymized and released periodically. Each release may vary in number of records due to insert, update, and delete operations. An intruder can combine, that is, correlate different releases to compromise the privacy of the in idual records. Most of the literature, such as τ ‐safety, τ ‐safe ( l, k )‐ ersity, have an inconsistency in record signatures and adds counterfeit tuples with high generalization that causes privacy breach and information loss. In this paper, we propose an improved privacy model ( τ , m )‐slicedBucket, having a novel idea of “Cache” table to address these limitations. We indicate that a collusion attack can be performed for breaching the privacy of τ ‐safe ( l, k )‐ ersity privacy model, and demonstrate it through formal modeling. The objective of the proposed ( τ , m )‐slicedBucket privacy model is to set a tradeoff between strong privacy and enhanced utility. Furthermore, we formally model and analyze the proposed model to show that the collusion attack is no longer applicable. Extensive experiments reveal that the proposed approach outperforms the existing models.
Publisher: Elsevier BV
Date: 10-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: Elsevier BV
Date: 10-2020
Location: Korea, Republic of
No related grants have been discovered for Saif Ur Rehman Malik.