A REVIEW ON BIG DATA PRIVACY AND SECURITY IN HEALTH CARE
DOI:
https://doi.org/10.63458/ijerst.v1i1.61Keywords:
Big Data, Analytics, Security, Privacy, ConfidentialityAbstract
Due to the proliferation of the Internet, IoT, and Cloud Computing, there is now an abundance of virtual data in every industry, field of study, and government agency. Big data has quickly become a topic of intense interest, garnering media coverage and commentary from all over the world. Data privacy and security in Big Data is a pressing concern. The 5Vs of big data—size, velocity, value, veracity, and variety—lower the bar for adequate protection. This paper aimed to draw attention to security and privacy issues and challenges associated with Big Data in healthcare, the resolution of which could result in a more secure data processing and computing infrastructure. This paper also provides a high-level overview of the K-Anonymity technique for protecting the privacy of large datasets before they are released for analysis, with the goal of preventing the disclosure of personally identifiable information. In conclusion, this paper summarizes the functions and features of the best big data security solutions offered by industry leaders.
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