Intelligent Cyber Defense for Critical Infrastructure

As critical infrastructure systems become digitized, they grow more vulnerable to cyber threats. Intelligent cyber defense leverages advanced technologies like AI, machine learning, and real-time analytics to detect, prevent, and respond to attacks with speed and accuracy. By integrating security measures, predictive threat modeling, and automated response mechanisms, these systems can safeguard essential services against disruptions with economic and social consequences. In an era of cyber risks, developing resilient and intelligent defense strategies may protect essential services in modern society. Intelligent Cyber Defense for Critical Infrastructure explores how advanced technologies like AI and real-time analytics can be used to protect critical infrastructure from cyber threats. It examines the effectiveness of intelligent defense systems in detecting, preventing, and responding to attacks while ensuring the continuity of essential services. This book covers topics such as machine learning, malware detection, and operational technology, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists.

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.

Dr. Pawan Kr. Goel, is a accomplished academician and researcher with 19.5 years of experience, is an Associate Professor at Raj Kumar Goel Institute of Technology, Ghaziabad. He holds a Ph.D. in Computer Science Engineering and is UGC NET qualified. His expertise spans various domains, including wireless sensor networks, cloud computing, and artificial intelligence. Dr. Goel has published extensively in prestigious journals and conferences, with notable papers on topics such as cybersecurity, IoT, and machine learning. He is an active member of numerous professional bodies, including the IEEE, Computer Society of India and the International Association of Engineers. Recognized for his contributions, he has received several awards and certificates of appreciation. Dr. Goel is dedicated to fostering industry-academia collaborations and has organized numerous workshops and seminars. He is also involved in various training programs, MOOCs, and NPTEL certifications, contributing significantly to the advancement of education and research in his field.

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 with 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.