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Title	Security Risk Analysis And Design Reengineering For Smart Healthcare
ID_Doc	47971
Authors	Sharma Gaur M.; Gaur N.K.; Kumar S.; Sharma P.S.
Year	2022
Published	Lecture Notes in Electrical Engineering, 907
DOI	http://dx.doi.org/10.1007/978-981-19-4687-5_46
Abstract	In view of evolving the smart cities, emerging technologies interventions and the adoption of embedded sensor devices increasing rapidly in every domain. From the smart home to the smart workplace, smart education to smart healthcare, routine activities are technology-enabled and always connected through the internet. A large number of small, seamless but powerful sensor devices connected through wireless sensor networks over underlying architecture and heterogeneous environment. Adoption of IoT in healthcare as an Internet of Medical Things (IoMT) provides healthcare-assisted services with remote monitoring and treatment. IoT-enabled healthcare applications where human-centric information is ubiquitous and security risks rising irrationally. With the aim of enabling, secure connected healthcare applications and services anytime, anywhere in the highly dynamic and heterogeneous environment need for continuous improvement in the existing security solutions. For smart healthcare security assurance, privacy and interoperability are the most common thrust areas for research. Emerging technologies like artificial intelligence, machine learning, and deep learning are the widespread technologies offering risk prediction, data analyzing, and process automation. In this paper, we explore emerging security risks and propose an adaptive security reengineering strategy using artificial intelligence with risk requirement alignments for design re-engineering of a typical smart healthcare system development where security is critical in adopting this fast digital transformation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Internet of Medical Things IoMT; Internet of Things IoT; Machine learning; Security requirement engineering; Smart healthcare system

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