Data Engineering for Smart Systems (eBook)

Proceedings of SSIC 2021

Priyadarsi Nanda, Vivek Kumar Verma, Sumit Srivastava, Rohit Kumar Gupta, Arka Prokash Mazumdar (Herausgeber)

eBook Download: PDF

2021 | 1st ed. 2022
XXII, 681 Seiten
Springer Singapore (Verlag)
978-981-16-2641-8 (ISBN)

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.

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 at UTS (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 natural language 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.

Erscheint lt. Verlag	13.11.2021
Reihe/Serie	Lecture Notes in Networks and Systems
Reihe/Serie	Lecture Notes in Networks and Systems
Zusatzinfo	XXII, 681 p. 276 illus., 197 illus. in color.
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Netzwerke ► Sicherheit / Firewall
	Informatik ► Theorie / Studium ► Algorithmen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik
Schlagworte	Big Data • Data Analysis • data engineering • Data Innovation and Management • Data Network • SSIC 2021 • SSIC Proceedings
ISBN-10	981-16-2641-3 / 9811626413
ISBN-13	978-981-16-2641-8 / 9789811626418

Haben Sie eine Frage zum Produkt?

PDF (Wasserzeichen)
Größe: 17,5 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Print-Ausgabe

Buch | Softcover

267,49 €