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Deep Learning Techniques for IoT Security and Privacy (eBook)

Artikelnummer: 978-3-030-89025-4
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2021
Seitenangabe257 S.
AusgabekennzeichenEnglisch
AbbildungenXXI, 257 p. 71 illus., 69 illus. in color.
Masse6'628 KB
PlattformPDF
ReiheStudies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics
AutorAbdel-Basset, Mohamed / Moustafa, Nour / Hawash, Hossam / Ding, Weiping

Alle Bände der Reihe "Studies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0)"

Über den Autor Mohamed Abdel-Basset

Dr. Mohamed Abdel-Basset is an IEEE Senior Member. He received the B.Sc., M.Sc., and PhD degrees in operations research from the Faculty of Computers and Informatics, Zagazig University, Egypt. He is currently an Associate Professor, Head of department of computer science with the Faculty of Computers and Informatics, Zagazig University. He has published more than 400 articles in international journals and conference proceedings. He is working on the application of multi-objective and robust metaheuristic optimization techniques. His current research interests include optimization, machine learning, deep learning, artificial intelligence, operations research, data mining, computational intelligence, applied statistics, decision support systems, robust optimization, engineering optimization, multi-objective optimization, swarm intelligence, evolutionary algorithms, and artificial neural networks.Dr. Laila Abdel-Fatah received her B.S. M.Sc. and PhD. degrees in information systems and decision support from the Faculty of Computers and Informatics, Zagazig University, Egypt. She is currently a Lecturer with the Faculty of Computers and Informatics at Zagazig University. Her research interests include computation intelligence (CI), fuzzy logic, artificial intelligence (AI), the Internet of Things (IoT), metaheuristic algorithms, geographic information systems (GIS), and spatial optimization.Dr. Hossam Hawash is a senior researcher at Zagazig University, Faculty of Computers and Informatics, Department of Computer Science, Egypt. He obtained his bachelor's and master's degrees in computer science in 2012 and 2016, respectively, from the Faculty of Computers and Informatics, Department of Computer Science, Egypt. His area of interest includes computation intelligence, Optimization, machine learning, deep learning, artificial intelligence, fuzzy learning, explainable artificial intelligence, and the Internet of things.

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