The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.

�ber die Autorin bzw. den Autor:

Prof. Anurag Mishra has bachelor’s and master’s in Physics from the University of Delhi. He completed his M.E. in Computer Technology and Applications and Ph.D. in Electronics also from the University of Delhi. He has extensive experience of teaching B.Sc. (Hons.), M.Sc., B.Tech. and M.Tech. programs in Electronics and Computer Science. He has about 28 years of experience as a teacher and as an active researcher. He has been a consultant for offshoot agencies of the Ministry of Education, Government of India. Presently, he is nominated as a visitor’s nominee in a central university by the Government of India. He has 65 refereed papers in highly cited journals, international conferences and book chapters, three authored, one edited book and two patents to his credit. He has recently entered into developing medical applications using deep convolutional neural networks. He is an active reviewer of papers for Springer, Elsevier and IEEE Transactions. He is a member of IEEE and also holds membership of the Institute of Informatics and Systemics (USA).
Dr. Deepak Gupta is an assistant professor in the Department of Computer Science and Engineering at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. Previously, he worked in the Department of Computer Science and Engineering at the National Institute of Technology Arunachal Pradesh. He received a Ph.D. in Computer Science and Engineering from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, ELM, RVFL, KRR and other machine learning techniques. He has published over 70 referred journal and conference papers of international repute. His publications have more than 1384 citations with an h-index of 22 and an i10-index of 45 (Google Scholar, 21/06/2023). He is currently a member of an editorial review board member of Applied Intelligence. He is the recipient of the 2017 SERB-Early Career Research Awardin Engineering Sciences which is the prestigious award of India at the early career level. He is a senior member of IEEE and currently an active member of many scientific societies like IEEE SMC, IEEE CIS, CSI and many more. He has served as a reviewer of many scientific journals and various national and international conferences. He was the general chair of the 3rd International Conference on Machine Intelligence and Signal Processing (MISP-2021) and associated with other conferences like IEEE SSCI, IEEE SMC, IJCNN, BDA 2021, etc. He has supervised three Ph.D. students and guided 15 M.Tech. projects. He is currently the principal investigator (PI) or a co-PI of two major research projects funded by the Science and Engineering Research Board (SERB), Government of India.
Dr. Girija Chetty has a bachelor’s and master’s degrees in Electrical Engineering and Computer Science from India and Ph.D. in Information Sciences and Engineering from Australia. She has more than 38 years of experience in industry, research and teaching from Universities and Research and Development Organisations from India and Australia and has held several leadership positions including the head of Software Engineering and Computer Science, the program director of ITS courses, and the course director for Master of Computing and Information Technology Courses. Currently, she is a full professor in Computing and Information Technology at School of Information Technology and Systems at the University of Canberra, Australia, and leads a research group with several Ph.D. students, post-docs, research assistants and regular international and national visiting researchers. She is a senior member of IEEE, USA; a senior member of Australian Computer Society; and ACM member, and her research interests are in multimodal systems, computer vision, pattern recognition, data mining and medical image computing. She has published extensively with more than 200 fully refereed publicationsin several invited book chapters, edited books, and high-quality conferences and journals, and she is in the editorial boards, technical review committees and a regular reviewer for several Springer, IEEE, Elsevier and IET journals in the area related to her research interests. She is highly interested in seeking wide and interdisciplinary collaborations, research scholars and visitors in her research group.

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