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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Bibliographic Details
Main Authors: Rafiq, Fatima, Awan, Mazhar Javed, Yasin, Awais, Nobanee, Haitham, Mohd. Zain, Azlan, Bahaj, Saeed Ali
Format: Article
Language:English
Published: SAGE Publications Inc. 2022
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