Privacy Prevention of Big Data Applications: A Systematic Literature Review

Fatima Rafiq, Mazhar Javed Awan, Awais Yasin, Haitham Nobanee, Azlan Mohd Zain and Saeed Ali Bahaj

SAGE Open, 2022, vol. 12, issue 2, 21582440221096445

Abstract: 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 various phases of a large data life cycle. The purpose of this work is to offer a comprehensive analysis of the privacy preservation techniques in Big Data, as well as to explain the problems for existing systems. The advanced repository search option was utilized for the search of the following keywords in the search: “Cyber security†OR “Cybercrime†) AND ((“privacy prevention†) OR (“Big Data applications†)). During Internet research, many search engines and digital libraries were utilized to obtain information. The obtained findings were carefully gathered out of which 103 papers from 2,099 were found to gain the best information sources to address the provided study subjects. Hence a systemic review of 32 papers from 103 found in major databases (IEEExplore, SAGE, Science Direct, Springer, and MDPIs) were carried out, showing that the majority of them focus on the privacy prediction of Big Data applications with a contents-based approach and the hybrid, which address the major security challenge and violation of Big Data. We end with a few recommendations for improving the efficiency of Big Data projects and provide secure possible techniques and proposed solutions and model that minimizes privacy violations, showing four different types of data protection violations and the involvement of different entities in reducing their impacts.

Keywords: privacy; cyber security; anonymity; data protection; sustainability; Big Data; security; prevention; public policy; cybercrime; artificial intelligence; Internet of Things (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440221096445 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:12:y:2022:i:2:p:21582440221096445

DOI: 10.1177/21582440221096445

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().