Hierarchical anonymization algorithms against background knowledge attack in data releasing-Reference-Cited by-同舟云学术

Hierarchical anonymization algorithms against background knowledge attack in data releasing

Published:2016-06 Issue: Volume:101 Page:71-89
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Amiri Fatemeh,Yazdani Nasser,Shakery Azadeh,Chinaei Amir H.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference43 articles.

1. P. Samarati, L. Sweeney, Protecting Privacy When Disclosing Information: k-Anonymity and its Enforcement Through Generalization and Suppression, Tech. Rep. SRI-CSL-98-04, 1998.

2. Protecting respondents' identities in microdata release;Samarati;IEEE Trans. Knowl. Data Eng.,2001

3. L-diversity: privacy beyond k-anonymity;Machanavajjhala;ACM Trans. Knowl. Discov. Data.,2007

4. t-closeness: privacy beyond k-anonymity and L-diversity;Li,2007

5. Publishing microdata with a robust privacy guarantee;Cao;Proc. VLDB Endow.,2012

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey of the fusion of traditional data security technology and blockchain;Expert Systems with Applications;2024-10

2. CTPP: A Conditional Trajectory Privacy Preservation Scheme Using Blockchain in V2X;IEEE Internet of Things Journal;2024-06-15

3. Learning-Based Energy Minimization Optimization for IRS-Assisted Master-Auxiliary-UAV-Enabled Wireless-Powered IoT Networks;IEEE Internet of Things Journal;2024-06-15

4. A Generic Approach towards Enhancing Utility and Privacy in Person-Specific Data Publishing Based on Attribute Usefulness and Uncertainty;Electronics;2023-04-24

5. Enhancing Utility in Anonymized Data against the Adversary’s Background Knowledge;Applied Sciences;2023-03-23