Data Engineering for Smart Systems

Dr. Priyadarsi Nanda is Senior Lecturer at the University of Technology Sydney (UTS) with more than 27 years of experience specializing in research and development of cybersecurity, IoT security, Internet traffic engineering, wireless sensor network security, and many more related areas. His most significant work has been in the area of intrusion detection and prevention systems (IDS/IPS) using image processing techniques, Sybil attack detection in IoT-based applications, and intelligent firewall design. In cybersecurity research, he has published over 80 high-quality refereed research papers including transactions in computers, transactions in parallel processing and distributed systems (TPDS), future generations of computer systems (FGCS) as well as many ERA Tier A/A* conference articles. In 2017, his work in cybersecurity research has earned him and his team the prestigious Oman Research Council's National Award for best research. Dr. Nanda has successfully supervised 8 HDR atUTS (5 PhD + 3 Masters), and currently, supervising 8 Ph.D. students. Vivek Kumar Verma is Assistant Professor (Senior Grade) in the Department of Information Technology, School of Computing & Information Technology, Manipal University Jaipur. His areas of expertise include data engineering, image processing, and natural language processing. He has published more than 35 research articles in peer-reviewed international journals, book series, and conference proceedings. Sumit Srivastava is Professor of Information Technology with expertise in the domain of data analytics and image processing. He is also Senior Member of IEEE. He has published more than 100 research papers in peer-reviewed international journals, book series, and conference proceedings. He is having two edited volumes of Springer Nature Book series in his account. He has supervised more than 10 Ph.D. scholars in the areas of data science, machine learning, and naturallanguage processing.  Rohit Kumar Gupta is Assistant Professor (Senior Grade) in the Department of Information Technology, School of Computer Science and IT, Manipal University Jaipur. He is currently pursuing a Ph.D. in the area of content distributed network from Malaviya National Institute of Technology, Jaipur. His research interests include cloud computing, network technologies, and IoT. He has published over 25 research articles in peer-reviewed international journals, book series, and conference proceedings.
Arka Prokash Mazumdar is Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering, Malviya National Institute of Technology Jaipur, India. He has completed his Ph.D. from IIT Patna and M.Tech. from NIT Durgapur. His research interests include information-centric networks, cloud computing, and IoT. He has published over 50 research articles in peer-reviewed international journals, book series, and conference proceedings.

This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22-23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies.

The books is one pot solution for authors to showcase their work among the research communities, application ware-houses and the public -private sectors. The series is an opportunity to gather research scientific works related to Data Engineering concept in context of computational intelligence consisted of interaction between Smart Devices, Smart Environments and Smart Interactions, as well as information technology support for such areas. Data from mentioned areas also need to be stored (after their gathering) in intelligent database systems and to be processed (using smart and intelligent approach). The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily accessible form. The innovations provide the latest software tools to be showcased in the book series through publications. The High-quality content with broad range of the topics pertaining to the book series will be peered reviewed and get published on suitable recommendations.

Using Machine Learning, Image Processing & Neural Networks to Sense Bullying in K-12 Schools: Enhanced.- Feature based Comparative Study of Machine Learning Algorithms for Credibility Analysis of Online Social Media Content.- Smart support system for navigation of visually challenged person using IOT.- Identity Based Video Summarization.- Security Testing for Blockchain enabled IoT system.