Artículos relacionados a Modern Approaches in IoT and Machine Learning for Cyber...

Modern Approaches in IoT and Machine Learning for Cyber Security: Latest Trends in AI (Internet of Things) - Tapa blanda

 
9783031099571: Modern Approaches in IoT and Machine Learning for Cyber Security: Latest Trends in AI (Internet of Things)

Sinopsis

This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Vinit Kumar Gunjan, Dean of Academics and Associate Professor in Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher; published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. Awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board,

Department of Science & Technology Government of India. Senior Member of IEEE, An active Volunteer of IEEE Hyderabad section; volunteered in the capacity of Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. Was involved as organizer in many technical & non-technical workshops, seminars & conferences of IEEE & Springer. During the tenure I had an honour of working with top leaders of IEEE and awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.

Mohd Dilshad Ansari is currently working as Associate Professor in the Department of Computer Science & Engineering at SRM University Delhi-NCR, Sonepat, Haryana, India. He received B.Tech in Information Technology from Uttar Pradesh Technical University, Lucknow, UP in 2009. He received his M.Tech and Ph.D. in Computer Science & Engineering from Jaypee University of Information Technology, Waknaghat, Solan, HP, India in 2011 and 2018 respectively. He has more than 8 years of Academic/ Research Experience and published more than 30 papers in International Journals (SCIE/Scopus), conferences (IEEE/Springer). He is the Member of various Technical/Professional societies such as IEEE, UACEE and IACSIT. He has been appointed as Editorial/Reviewer Board and Technical Programme Committee member in various reputed Journals/Conferences. He is also Guest Editor of Special Issues from Reputed Journals and Organized Special Sessions in IEEE/Springer Conferences. His research interest includes Digital & Fuzzy Image Processing, Machine Learning, IoT and Cloud Computing.

Mohammed Usman received B.E in Electronics and Communications from Madras University, India in 2002. He received his M.Sc and PhD from University of Strathclyde, UK in 2003 and 2008 respectively. He is the recipient of the University scholarship from Strathclyde for his PhD. He has more than a decade of experience in academics and academic administration. He is a senior member of IEEE and IEEE Communications Society. He has been TPC chair and organizing chair for IEEE conferences and actively involved in IEEE activities. He is currently working as Assistant Professor in the department of Electrical Engineering at King Khalid University, Saudi Arabia. He received the & academic excellence' award from the College of Engineering at King Khalid University and also received the award for best project in 2016. A senior design project under his supervision received the talent and innovation award in 2018.His research is focused on technologies for next generation wireless networks, signal processing for biomedical application, probabilistic modeling and channel coding.

Nguyen ThiDieuLinh, Ph.D. is working in the Division of Electronics and Telecommunication Engineering in Electronics and Information, Faculty of Electronics Engineering Technology, Hanoi University of Industry, Vietnam (HaUI). Currently She is heading the department since 2015. She has more than 17 years of academic experience in electronics, IoT, Smart Garden and telecommunication. She has authored or co-authored more than 15 research articles that are published injournals, books and conference proceedings. .She teaches graduate & post graduate level courses at HaUI, Viet Nam. She received Ph.D in Information and Communication Engineering from Harbin Institute of Technology, Harbin, China in 2013; Master of Electronic Engineering from Le Quy Don Technical University, Hanoi, Vietnam in 2006 and Bachelor of Electronic Engineering from HCMC University of Technology and Education, Vietnam in 2004. She is an editor for “Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches” and “Distributed Artificial Intelligence: A Modern Approach” publisher by Taylor & Francis Group, LLC, USA. She is also board member with International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) IGI-Global, USA, Information Technology Journal, Mobile Networks and Application Journal and some other reputed journal and international conferences.

De la contraportada

This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.

  • Examines cyber risks associated with IoT and highlights essential cyber security capabilities needed to address risks effectively;
  • Fuses deep cyber security expertise with artificial intelligence, machine learning and advanced analytics tools;
  • Includes a case study about an automated process for analyzing cyber frauds specifically in phishing and cloning.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo

Ver este artículo

EUR 48,99 gastos de envío desde Alemania a Estados Unidos de America

Destinos, gastos y plazos de envío

Otras ediciones populares con el mismo título

9783031099540: Modern Approaches in IoT and Machine Learning for Cyber Security: Latest Trends in AI (Internet of Things)

Edición Destacada

ISBN 10:  3031099540 ISBN 13:  9783031099540
Editorial: Springer, 2023
Tapa dura

Resultados de la búsqueda para Modern Approaches in IoT and Machine Learning for Cyber...

Imagen del vendedor

Publicado por Springer Verlag GmbH, 2024
ISBN 10: 3031099575 ISBN 13: 9783031099571
Nuevo Tapa blanda
Impresión bajo demanda

Librería: moluna, Greven, Alemania

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nº de ref. del artículo: 2040499946

Contactar al vendedor

Comprar nuevo

EUR 144,94
Convertir moneda
Gastos de envío: EUR 48,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Vinit Kumar Gunjan
ISBN 10: 3031099575 ISBN 13: 9783031099571
Nuevo Taschenbuch
Impresión bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book's chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT. 428 pp. Englisch. Nº de ref. del artículo: 9783031099571

Contactar al vendedor

Comprar nuevo

EUR 171,19
Convertir moneda
Gastos de envío: EUR 23,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen de archivo

Publicado por Springer, 2024
ISBN 10: 3031099575 ISBN 13: 9783031099571
Nuevo Tapa blanda

Librería: Books Puddle, New York, NY, Estados Unidos de America

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nº de ref. del artículo: 26403546848

Contactar al vendedor

Comprar nuevo

EUR 200,65
Convertir moneda
Gastos de envío: EUR 3,42
A Estados Unidos de America
Destinos, gastos y plazos de envío

Cantidad disponible: 4 disponibles

Añadir al carrito

Imagen de archivo

Publicado por Springer, 2024
ISBN 10: 3031099575 ISBN 13: 9783031099571
Nuevo Tapa blanda
Impresión bajo demanda

Librería: Majestic Books, Hounslow, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Print on Demand. Nº de ref. del artículo: 410656063

Contactar al vendedor

Comprar nuevo

EUR 211,43
Convertir moneda
Gastos de envío: EUR 7,43
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

Cantidad disponible: 4 disponibles

Añadir al carrito

Imagen de archivo

Publicado por Springer, 2024
ISBN 10: 3031099575 ISBN 13: 9783031099571
Nuevo Tapa blanda
Impresión bajo demanda

Librería: Biblios, Frankfurt am main, HESSE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18403546858

Contactar al vendedor

Comprar nuevo

EUR 215,09
Convertir moneda
Gastos de envío: EUR 9,95
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

Cantidad disponible: 4 disponibles

Añadir al carrito

Imagen del vendedor

Vinit Kumar Gunjan
ISBN 10: 3031099575 ISBN 13: 9783031099571
Nuevo Taschenbuch

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Neuware -This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book's chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 428 pp. Englisch. Nº de ref. del artículo: 9783031099571

Contactar al vendedor

Comprar nuevo

EUR 171,19
Convertir moneda
Gastos de envío: EUR 60,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen del vendedor

Vinit Kumar Gunjan
ISBN 10: 3031099575 ISBN 13: 9783031099571
Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book's chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT. Nº de ref. del artículo: 9783031099571

Contactar al vendedor

Comprar nuevo

EUR 171,19
Convertir moneda
Gastos de envío: EUR 63,23
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito