Abstract
It is noticed that the exponential data growth in the healthcare domain is manageable by the application of Big Data architecture and techniques. Various Machine Learning (ML) and Big Data techniques are influencing healthcare. It is essential to propose a secure and smart healthcare information system with the latest security mechanism. Similarly, provisions have to be made to secure classified healthcare records in the cloud. Cryptosystems, service-oriented architecture, secure multi-party computation, and secret share schemes are some of the security mechanism methods. Evaluation of a classification model in a cloud computing environment is considered in this paper for privacy preserving. For the success of healthcare organizations, a detailed survey study about privacy and security aspects is also dealt with in this paper. This has resulted in machine learning-based secured data processing of healthcare records in the cloud environment.
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Chaithra, M.H., Vagdevi, S. (2022). A Detailed Survey Study on Various Issues and Techniques for Security and Privacy of Healthcare Records. In: Raj, J.S., Palanisamy, R., Perikos, I., Shi, Y. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 213. Springer, Singapore. https://doi.org/10.1007/978-981-16-2422-3_15
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DOI: https://doi.org/10.1007/978-981-16-2422-3_15
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