The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity

Discussess advances in artificial intelligence and soft computing techniques in cybersecurity. It looks at the use of cybersecurity for cloud intelligent systems, applications of cybersecurity techniques for web applications, cybersecurity for cyber-physical systems, edge computing, machine learning, neural gas clustering technique, etc.

M. A. Jabbar, PhD, is a Professor and Head of the Department CSE (AI & ML), Vardhaman College of Engineering, Hyderabad, Telangana, India. He obtained a Doctor of Philosophy (PhD) in 2015 from Jawaharlal Nehru Technological University, Hyderabad and Telangana, India. He has been teaching for more than 20 years. His research interests include artificial intelligence, big data analytics, bioinformatics, cybersecurity, machine learning, attack graphs, and intrusion detection systems. He has published over 60 papers in various journals and conferences and served as a technical committee member for more than 70 international conferences. He has also been editor for several conferences (1st ICMLSC 2018, SOCPAR 2019, and ICMLSC 2020) and has been involved in organizing international conference as an organizing chair, program committee chair, publication chair, and reviewer (SoCPaR, HIS, ISDA, IAS, WICT, NABIC, etc.). He is co-editor of the books The Fusion of Internet of Things, AI, and Cloud Computing in Health Care: Opportunities and Challenges (Springer); Deep Learning in Biomedical and Health Informatics: Current Applications and Possibilities (CRC Press); Emerging Technologies and Applications for a Smart and Sustainable World (Bentham Science); and Machine Learning Methods for Signal, Image and Speech Processing (River Publisher).

Sanju Tiwari, PhD, is a Senior Researcher at the Universidad Autonoma de Tamaulipas, Mexico. She has worked as a postdoctoral researcher in the Ontology Engineering Group at the Universidad Polytecnica De Madrid, Spain. Prior to this, she has worked as a research associate for a sponsored research project, ＂Intelligent Real time Situation Awareness and Decision Support System for Indian Defence,＂ funded by the Defence Research and Development Organisation (DRDO), New Delhi, in the Department of Computer Applications, National Institute of Technology, Kurukshetra, India. In this project, she developed and evaluated a decision support system for Indian Defence. Her current research interests include ontology engineering, knowledge graphs, linked data generation and publication, semantic web, reasoning with SPARQL, and machine intelligence.

Subhendu Kumar Pani, PhD, is Professor in the Department of Computer Science and Engineering and Research Coordinator, Krupajal Engineering College (KEC) Bhubaneswar, India. He was formerly Professor in the Department of Computer Science and Engineering and Research Coordinator at Orissa Engineering College (OEC), Bhubaneswar, India. He has more than 15 years of teaching and research experience. His research interests include data mining, big data analysis, web data analytics, fuzzy decision-making, and computational intelligence. He is the recipient of five researcher awards. In addition to research, he has guided two PhD students and 31 MTech students. He has published over 50 international journal papers (25 Scopus indexed). His professional activities include roles as associate editor, editorial board member, and/or reviewer of various international journals. He is associated with a number of conferences and societies. He has more than 100 international publications, five authored books, two edited books, and ten book chapters to his credit. He is a fellow of the Scientific Society of Advance Research and Social Change and a life member in many other professional organizations.

Stephen Huang, PhD, Professor of Computer Science at the University of Houston (UH), Texas, USA, has more than 40 years of experience in computer science teaching, research, and administration. He also serves as the Director of Research at the Center for Information Security Research and Education at UH. His research interests include cybersecurity, intrusion detection, and algorithms. He has published many journals and conference papers and has supervised and graduated over 30 MS and ten PhD students. Dr. Huang has served in several administrative positions at UH, including Director of Graduate Studies, Associate Chairman, and Department Chairman. Dr. Huang received his PhD degree in Computer Science from the University of Texas-Austin in 1981. He was a National Research Council-NASA Senior Research Associate at the NASA Goddard Space Flight Center, Greenbelt, Maryland, during 1989-90.