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Modern Approaches in IoT and Machine Learning for Cyber Security Latest Trends in AI /

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), machi...

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Dettagli Bibliografici
Ente Autore: SpringerLink (Online service)
Altri autori: Gunjan, Vinit Kumar (Redattore), Ansari, Mohd Dilshad (Redattore), Usman, Mohammed (Redattore), Nguyen, ThiDieuLinh (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
Serie:Internet of Things, Technology, Communications and Computing,
Soggetti:
Cooperating objects (Computer systems).
Telecommunication.
Data protection.
Quantitative research.
Cyber-Physical Systems.
Communications Engineering, Networks.
Data and Information Security.
Data Analysis and Big Data.
Accesso online:https://doi.org/10.1007/978-3-031-09955-7
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Descrizione
Riassunto: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.
Descrizione fisica:1 online resource (X, 417 p. 216 illus.). 123 illus. in color.
ISBN:9783031099557
ISSN:2199-1081
DOI:10.1007/978-3-031-09955-7

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