A Comparative Study of Data Anonymization Techniques

Big data; Data privacy; Anonymization; Comparative studies; Data anonymization; Digital era; Personally identifiable information; Privacy preservation; Privacy risks; security; Network security

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Bibliographic Details
Main Authors: Murthy S., Abu Bakar A., Abdul Rahim F., Ramli R.
Other Authors: 57215129870
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-246642023-05-29T15:25:38Z A Comparative Study of Data Anonymization Techniques Murthy S. Abu Bakar A. Abdul Rahim F. Ramli R. 57215129870 35178991300 57350579500 57191413657 Big data; Data privacy; Anonymization; Comparative studies; Data anonymization; Digital era; Personally identifiable information; Privacy preservation; Privacy risks; security; Network security In today's digital era, it is a very common practice for organizations to collect data from individual users. The collected data is then stored in multiple databases which contain personally identifiable information (PII). This may lead to a major source of privacy risk for the database. Various privacy preservation techniques have been proposed such as perturbation, anonymization and cryptographic. In this study, five anonymization techniques are compared using the same dataset. In addition to that, this study reviews the strengths and weaknesses of the different technique. In the evaluation of efficiency, suppression is found as the most efficient while swapping is in the last place. It is also revealed that swapping is the most resource-consuming technique while suppressing being less resource consuming. � 2019 IEEE. Final 2023-05-29T07:25:38Z 2023-05-29T07:25:38Z 2019 Conference Paper 10.1109/BigDataSecurity-HPSC-IDS.2019.00063 2-s2.0-85072765291 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072765291&doi=10.1109%2fBigDataSecurity-HPSC-IDS.2019.00063&partnerID=40&md5=0cff5e2b3819a6818d170d011b623056 https://irepository.uniten.edu.my/handle/123456789/24664 8819477 306 309 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Big data; Data privacy; Anonymization; Comparative studies; Data anonymization; Digital era; Personally identifiable information; Privacy preservation; Privacy risks; security; Network security
author2 57215129870
author_facet 57215129870
Murthy S.
Abu Bakar A.
Abdul Rahim F.
Ramli R.
format Conference Paper
author Murthy S.
Abu Bakar A.
Abdul Rahim F.
Ramli R.
spellingShingle Murthy S.
Abu Bakar A.
Abdul Rahim F.
Ramli R.
A Comparative Study of Data Anonymization Techniques
author_sort Murthy S.
title A Comparative Study of Data Anonymization Techniques
title_short A Comparative Study of Data Anonymization Techniques
title_full A Comparative Study of Data Anonymization Techniques
title_fullStr A Comparative Study of Data Anonymization Techniques
title_full_unstemmed A Comparative Study of Data Anonymization Techniques
title_sort comparative study of data anonymization techniques
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428362736926720
score 13.211869