Threat Intelligence and Cloud Trust Models for Healthcare Security

/ ISBN 13: 9798337349183

Published by IGI Global, 2025

New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798337349183

Synopsis:

As 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.

About the Authors: Chin-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

Hari Mohan Pandey works in data science and artificial intelligence at school of technology Bournemouth University, UK. They are featured in the 2022 World Ranking list of Top 2% scientist by Sandford University. They specialized in Computer Science & Engineering. My research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning and computer vision. They have been an author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). Recently, my book entitle "State of the Art on Grammatical Inference Using Evolutionary Method " has been published in Elsevier. They have published over 120 scientific papers in reputed journals and conferences. They are serving on the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge Based Systems Elsevier) as action editor, associate editor, and guest editor. They are a reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI etc. They have delivered expert talks as keynote and invited speaker. They are a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. They have delivered lecturers in the International summer/winter schools. I have been given the prestigious award "The Global Award for the Best Computer Science Faculty of the Year 2015", award for completing INDO-US project "GENTLE", award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher-education. In past, They worked as a sr. lecturer in computer science department at Edge Hill University. They also worked as a research fellow machine learning at the school of technology at Middlesex University London where they worked on a European Commission project- DREAM4CARS. My role was to research and develop advanced machine learning techniques relevant to the project goals and to evaluate these on both project & reference data sets. To lead and manage relevant work packages in support of the project, ensuring appropriate interfacing with partners.

Bibliographic Details

Title: Threat Intelligence and Cloud Trust Models ...
Publisher: IGI Global
Publication Date: 2025
Binding: HRD
Condition: New