Next-Generation Cybersecurity AI, ML, and Blockchain /

This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in th...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kaushik, Keshav (Editor), Sharma, Ishu (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Blockchain Technologies,
Subjects:
Online Access: Full text (Wentworth users only)
Description
Summary:This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depth examination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integration of AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.
Physical Description:XII, 470 p. 96 illus., 65 illus. in color. online resource.
ISBN:9789819712496
ISSN:2661-8346
DOI:10.1007/978-981-97-1249-6