Security Solutions for Big Data Analytics in Healthcare

• Published in: 2015 Second International Conference on Advances in Computing and Communication Engineering pp. 510 - 514
• Main Authors: Rao, Smitha, Suma, S. N., Sunitha, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2015
• Subjects: Big data; Big Databases; Business; Data models; Data privacy; De-Identification; Encryption; Healthcare Analytics; Jujutsu Security; Masking; Medical services; Security
• ISBN: 9781479917334; 1479917338
• DOI: 10.1109/ICACCE.2015.83

Today data is a strategic asset and organizational goal is to maximize the value of their information. A growing number of companies are using technology to store and analyze petabytes of data including web logs, click stream data and social media content to gain better insights about their customers and their business. Big Data analytics provides enormous competitive advantage for corporations, helping the businesses, tailor their products to consumer needs. Big data in healthcare refers to electronic health data sets that are related to patient healthcare and well-being. In healthcare sector the privacy and security issues of big data are a major concern as data is bound by international regulations like the Health Insurance Portability and Accountability Act (HIPAA), The Health Information Technology for Economic and Clinical Health (HITECH), HCSC, FTC (Federal Trade Commission) etc. In Hospital Information System the applications/modules that are impacted by big data are genomics, pharmacovigilance, patient care etc. The aim of this paper is to present various viable security solutions to harness the potential of big data pertaining to healthcare in a highly regulated environment.