Privacy prevention of big data applications: a systematic literature review
This paper focuses on privacy and security concerns in Big Data. This paper also covers the encryption techniques by taking existing methods such as differential privacy, k-anonymity, T-closeness, and L-diversity. Several privacy-preserving techniques have been created to safeguard privacy at variou...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publications Inc.
2022
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Subjects: | |
Online Access: | http://eprints.utm.my/103942/1/AzlanMohdZain2022_PrivacyPreventionofBigDataApplications.pdf http://eprints.utm.my/103942/ http://dx.doi.org/10.1177/21582440221096445 |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |