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Cybersecurity for Industrial IoT in Hybrid Cloud Environments

Contributor(s): Shieh, Chin-Shiuh (Editor), Goel, Pawan Kumar (Editor), Horng, Mong-Fong (Editor)

ISBN: 9798337345819

Publisher: Igi Global Scientific Publishing

Hardcover
$280.00
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Pub Date: May 28, 2026

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 1.31" H x 10.00" L x 7.00" W ( 2.74 lbs) 520 pages

Descriptions, Reviews, etc.

Description: The rapid advancement of industrial Internet of Things (IIoT) systems with hybrid cloud architecture is transforming how modern industries monitor and optimize their operations. By distributing intelligence across different infrastructures and public cloud platforms, organizations gain unprecedented scalability and real-time insights. However, this expanded digital footprint also introduces complex cybersecurity challenges. Protecting industrial assets now requires securing diverse communication protocols, and mission-critical workloads that span multiple environments. As a result, robust cybersecurity strategies for IIoT in hybrid cloud ecosystems have become essential to ensure operational continuity and resilience against evolving cyber threats. Cybersecurity for Industrial IoT in Hybrid Cloud Environments explores cybersecurity challenges and solutions specific IIoT deployment in hybrid cloud environments. This book examines the convergence of IIoT and hybrid cloud cybersecurity. Covering topics such as cloud environments, cybersecurity, and IoT, this book is an excellent resource for academicians, cybersecurity professionals, graduate students, policy makers, and business leaders.

Brief description: Professor Chin-Shiuh Shieh is a distinguished academic and researcher in the field of electronic engineering and computer science, currently serving as a Professor in the Department of Electronic Engineering at National Kaohsiung University of Science and Technology (NKUST), Taiwan. He received his Ph.D. in Computer Science and Engineering from the National Sun Yat-sen University, Taiwan, and has since dedicated his career to pioneering research and teaching in areas including computer networking, wireless communication, information security, computational intelligence, embedded systems, and medical informatics. With a career spanning several decades, Professor Shieh has made significant contributions to both academia and industry. In the past five years alone, he has authored or co-authored 28 journal papers, of which 24 are indexed in SCI (Science Citation Index), and 80 conference papers, encompassing 26 international and 54 domestic conferences. His editorial acumen is evident in his role as editor for two international academic conference proceedings. Professor Shieh has been actively engaged in various research initiatives, participating in 10 Ministry of Science and Technology (MOST) projects, leading five of them. He has also been involved in three Ministry of Education projects, one of which he led, and a campus research project. Furthermore, his strong industry collaboration is reflected in 10 industry-academia cooperation projects, eight of which he led. He has also contributed to one technology transfer authorization. As a recognized figure in the global research community, Professor Shieh is affiliated with four professional societies, and serves as a reviewer for 106 academic journals. He has participated as a committee member for 21 journals and 175 international conferences, underscoring his influence and expertise in his fields of specialization. Among his recent notable publications is the 2024 SCI-indexed paper titled "Open-set recognition in unknown DDoS attacks detection with reciprocal points learning" published in IEEE Access, which highlights his innovative work in cybersecurity and artificial intelligence. He has also played key editorial roles in conferences such as the International Conference on Genetic and Evolutionary Computing (ICGEC) and Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP). His work has earned multiple accolades including Best Paper Awards and Excellent Paper Awards in international conferences. He has co-developed cutting-edge methods in machine learning, optimization algorithms, and adversarial defense mechanisms, particularly in the domain of cybersecurity threats such as DDoS attacks. His academic journey, prolific publication record, leadership in research projects, and commitment to interdisciplinary collaboration have established him as a leading voice in advancing electronic engineering and computing sciences in Taiwan and beyond.

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