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OverviewAs healthcare systems utilize cloud technologies to manage patient data, integrating cybersecurity becomes urgent. Threat intelligence and cloud trust models are vital in safeguarding healthcare infrastructures against evolving cyber threats, data breaches, and compliance risks. By using real-time threat detection, risk assessment frameworks, and trust-based access controls, healthcare organizations can enhance their resilience while maintaining confidentiality, integrity, and availability of medical information. Further exploration into the integration of threat intelligence with cloud trust models may create a more secure and trustworthy digital environment for modern healthcare delivery. Threat Intelligence and Cloud Trust Models for Healthcare Security explores the landscape of healthcare systems powered by the Internet of Things (IoT). It examines the emerging security threats targeting healthcare IoT (HIoT) infrastructure and proposes intelligent threat detection frameworks and trust models tailored for secure cloud integration. This book covers topics such as machine learning, data science, and cloud computing, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and data scientists. Full Product DetailsAuthor: Chin-Shiuh Shieh , Pawan Kumar Goel , Mong-Fong Horng , Hari Mohan PandeyPublisher: Igi Global Scientific Publishing Imprint: Igi Global Scientific Publishing Dimensions: Width: 17.80cm , Height: 2.20cm , Length: 25.40cm Weight: 0.866kg ISBN: 9798337349183Pages: 360 Publication Date: 16 October 2025 Audience: General/trade , General Format: Hardback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationChin-Shiuh Shieh is a Director and he was received M.S. in Electrical Engineering from the National Taiwan University, Taipei, Taiwan, in 1991, and the Ph.D. from the Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, in 2009. He joined the Faculty of the Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, in August 1991, where he is currently working as a Professor. His research interests include wireless networks and handover techniques Pawan Kumar Goel is an accomplished academician and researcher with over 20 years of experience in the field of Computer Science and Engineering. He is currently serving as an Associate Professor at Raj Kumar Goel Institute of Technology, Ghaziabad. Dr. Goel holds a Ph.D. in Computer Science Engineering and has qualified UGC-NET and GATE multiple times. His research interests include cloud computing, cybersecurity, artificial intelligence, and blockchain technology. He has published extensively in Scopus and UGC-approved journals, authored multiple books, and presented papers at renowned international conferences. He has also served as a reviewer for international journals and is a member of several prestigious organizations, including IEEE, CSI, IAENG, and ACM. Actively engaged in organizing FDPs, conferences, and workshops, Dr. Goel has also contributed as a session chair and institutional ambassador for various academic and research initiatives. His dedication to academia and research has earned him several awards and recognitions, making him a significant contributor to the advancement of technology and education. Mong-Fong Horng received his B.S., Ms. and Ph.D degrees from National Chiao Tung University and National Cheng Kung University, Taiwan in 1989, 1991 and 2003, respectively. He now is a Jointly-Appointed Professor in the Department of Electronics Engineering at National Kaohsiung University of Science and Technology, and Kaohsiung Medical University, Taiwan. He served as the President of Taiwanese Association of Consumer Electronics (TACE), Chair of Tainan Chapter, IEEE Signal Processing Society. His research interest includes Internet of Things, machine learning, computer networks, and medical informatics and related industrial cooperation Tab Content 6Author Website:Countries AvailableAll regions |
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