Convergence of Deep Learning in Cyber-IoT Systems and Security

Chakraborty, Rajdeep

ISBN 10: 111985721X ISBN 13: 9781119857211
Verlag: John Wiley & Sons Inc, 2022
Neu Hardcover

Verkäufer Kennys Bookstore, Olney, MD, USA Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

AbeBooks-Verkäufer seit 9. Oktober 2009


Beschreibung

Beschreibung:

2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9781119857211

Diesen Artikel melden

Inhaltsangabe:

CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY

In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years.

The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems.

This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions.

Audience

Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography.

Über die Autorin bzw. den Autor:

Rajdeep Chakraborty, PhD, is an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. His fields of interest are mainly in cryptography and computer security. He was awarded the Adarsh Vidya Saraswati Rashtriya Puraskar, National Award of Excellence 2019 conferred by Glacier Journal Research Foundation,

Anupam Ghosh, PhD, is a professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. He has published more than 80 international papers in reputed international journals and conferences. His fields of interest are mainly in AI, machine learning, deep learning, image processing, soft computing, bioinformatics, IoT, and data mining.

Jyotsna Kumar Mandal, PhD, has more than 30 years of industry and academic experience. His fields of interest are coding theory, data and network security, remote sensing & GIS-based applications, data compression error corrections, information security, watermarking, steganography and document authentication, image processing, visual cryptography, MANET, wireless and mobile computing/security, unify computing, chaos theory, and applications.

S. Balamurugan, PhD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Bibliografische Details

Titel: Convergence of Deep Learning in Cyber-IoT ...
Verlag: John Wiley & Sons Inc
Erscheinungsdatum: 2022
Einband: Hardcover
Zustand: New

Beste Suchergebnisse beim ZVAB

Beispielbild für diese ISBN

R Chakraborty
Verlag: Wiley, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Neu Hardcover

Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. FW-9781119857211

Verkäufer kontaktieren

Neu kaufen

EUR 174,43
EUR 6,72 shipping
Versand von Vereinigtes Königreich nach USA

Anzahl: 15 verfügbar

In den Warenkorb

Foto des Verkäufers

R Chakraborty
Verlag: John Wiley & Sons, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Neu Hardcover

Anbieter: moluna, Greven, Deutschland

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Rajdeep Chakraborty, PhD, is an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. His fields of interest are mainly in cryptography and computer security. He was awarded the Adarsh. Artikel-Nr. 544054665

Verkäufer kontaktieren

Neu kaufen

EUR 190,64
EUR 48,99 shipping
Versand von Deutschland nach USA

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Verlag: Wiley-Scrivener, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Neu Hardcover

Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Artikel-Nr. 402209689

Verkäufer kontaktieren

Neu kaufen

EUR 234,36
EUR 7,44 shipping
Versand von Vereinigtes Königreich nach USA

Anzahl: 3 verfügbar

In den Warenkorb

Foto des Verkäufers

Rajdeep Chakraborty
Verlag: Wiley Dez 2022, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Neu Hardcover

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: Neu. Neuware - CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITYIn-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years.The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems.This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions.AudienceResearchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography. Artikel-Nr. 9781119857211

Verkäufer kontaktieren

Neu kaufen

EUR 235,21
EUR 64,08 shipping
Versand von Deutschland nach USA

Anzahl: 2 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Chakraborty, Rajdeep (Editor)/ Ghosh, Anupam (Editor)/ Mandal, Jyotsna Kumar (Editor)/ Balamurugan, S. (Editor)
Verlag: Wiley-Scrivener, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Neu Hardcover

Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Hardcover. Zustand: Brand New. 400 pages. 9.25x6.22x1.18 inches. In Stock. Artikel-Nr. __111985721X

Verkäufer kontaktieren

Neu kaufen

EUR 251,52
EUR 14,30 shipping
Versand von Vereinigtes Königreich nach USA

Anzahl: 2 verfügbar

In den Warenkorb