Abstract
Technology is already affecting every aspect of life, and our health is no exception. Artificial intelligence (AI) has become one of the most emerging technologies over the last few years in almost every environment. New technological advances such as cloud computing provide benefits and have changed the way we store, access and exchange information. Especially, in the Healthcare IT sector, cloud-based systems offer great potential, from many perspectives, including improved medical diagnosis, accurate and faster prediction and cost-effective management treatment. In an attempt to assist cloud providers and healthcare organizations to secure their cloud-based environment and to adopt the appropriate measures for data protection, we present an overview of the security and privacy requirements of cloud-based healthcare systems. Specifically, this chapter starts with the presentation of the reported threats in cloud-based health systems, continues with the identified objectives and assets and concludes with measures for the mitigation of the identified threats. Due to the fact, migration into cloud-based healthcare systems, in most cases, implies that data subjects lose control of their data, many scientists have raised their worries about this. It is therefore needed to re-consider security, privacy and trust requirements, in the context of cloud computing. This chapter makes concrete recommendations for improving the protection level of cloud-based health organizations, cloud providers, hospitals and patients.
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Georgiou, D., Lambrinoudakis, C. (2020). Security and Privacy Issues for Intelligent Cloud-Based Health Systems. In: Maglogiannis, I., Brahnam, S., Jain, L. (eds) Advanced Computational Intelligence in Healthcare-7. Studies in Computational Intelligence, vol 891. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-61114-2_9
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DOI: https://doi.org/10.1007/978-3-662-61114-2_9
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