Journal
IT PROFESSIONAL
Volume 20, Issue 3, Pages 73-81Publisher
IEEE COMPUTER SOC
DOI: 10.1109/MITP.2018.032501750
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Funding
- Higher Education Commission [HEC-NRPU 5946]
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Big data systems have been instrumental in solving computational problems for business intelligence and predictive analysis. Despite this, they exhibit serious concerns for user privacy. The authors provide an overview of privacy in the context of big data, categorizing four types of existing privacy violations in big data systems and assessing the strengths and weaknesses of their protection techniques. They also provide measures that can be taken to strengthen users' privacy.
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