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IEEE Final Year Project Topics for CSE

Base Paper Title

Understanding Privacy Violations in Big Data Systems

Our Title

IEEE Project Abstract

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.

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper


Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey


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