Restricted Sensitive Attributes-based Sequential Anonymization (RSA-SA) approach for privacy-preserving data stream publishing-Reference-Cited by-同舟云学术

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Restricted Sensitive Attributes-based Sequential Anonymization (RSA-SA) approach for privacy-preserving data stream publishing

Published:2019-01 Issue: Volume:164 Page:1-20
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Abdelhameed Saad A.,Moussa Sherin M.,Khalifa Mohamed E.

Publisher

Elsevier BV

Subject

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

Reference50 articles.

1. A review of privacy preserving data publishing technique;Singh;Int. J. Emerg. Res. Manage. Technol. ISSN,2013

2. Thoughts on k-anonymization;Nergiz;IEEE TDKE,2007

3. Privacy-preserving tabular data publishing: A comprehensive evaluation from web to cloud;Abdelhameed,2018

4. Data privacy through optimal k-anonymization;Bayardo,2005

5. Privacy-preserving data publishing: A survey of recent developments;Fung;ACM CSUR,2010

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1. Manhattan-based k-member clustering and enhanced rabbit optimization algorithm for k-anonymization in social network;Multimedia Tools and Applications;2024-04-19

2. Apache Flink and clustering-based framework for fast anonymization of IoT stream data;Intelligent Systems with Applications;2023-11

3. Data Sharing Privacy Metrics Model Based on Information Entropy and Group Privacy Preference;Cryptography;2023-03-03

4. Design of privacy preserving model based on clustering involved anonymization along with feature selection;Computers & Security;2023-03

5. Practical anonymization for data streams: z-anonymity and relation with k-anonymity;Performance Evaluation;2023-01

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