Artificial Intelligence for Cybersecurity

This book explores new and novel applications of machine learning, deep learning, and artificial intelligence to cybersecurity, delving into deeper issues and providing insight into explainable AI, adversarial learning, resilient AI, and related topics. It is a valuable resource for researchers, advanced students, and practitioners in these fields.

Format: Hardback
Length: 380 pages
Publication date: 16 July 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into groundbreaking applications of machine learning, deep learning, and artificial intelligence in the realm of cybersecurity, addressing major challenges and exploring intricate interfaces. It goes beyond the mere application of AI techniques to datasets and delves into the profound issues that arise at the intersection of deep learning and cybersecurity. Furthermore, the book offers valuable insights into the complex and often challenging how and why questions that arise in the field of AI within the security domain.

The book is organized into several chapters, each covering a range of topics related to cybersecurity and AI. These chapters encompass explainable AI, adversarial learning, resilient AI, and a diverse array of related subjects. This broad scope ensures that the book is relevant to practitioners and researchers across various cybersecurity subtopics, spanning from malware to biometrics and beyond.

Designed for both researchers and advanced-level students engaged in cybersecurity and artificial intelligence, this book serves as a valuable reference. It provides a comprehensive understanding of the latest advancements and trends in these fields, enabling readers to stay at the forefront of their respective disciplines. Practitioners working in cybersecurity or related fields will also find this book invaluable, as it offers practical insights and solutions to real-world cybersecurity challenges.

In conclusion, this book is a must-read for anyone seeking to explore the cutting-edge applications of machine learning, deep learning, and artificial intelligence in cybersecurity. It offers a comprehensive and insightful perspective on the complex interplay between these technologies and cybersecurity, providing valuable insights and guidance for researchers, practitioners, and students alike.

Weight: 764g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030970864
Edition number: 1st ed. 2022