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Book synopsis

This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity.This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It's not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more.Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Artificial Intelligence for Cybersecurity
• Author: Mark Stamp, Corrado Aaron Visaggio, Francesco Mercaldo, Fabio Di Troia
• Language: English
• Binding: Paperback
• Number of pages: 380
• EAN: 9783030970895
• ID: 43672435
• Publisher: Springer, Berlin
• Weight: 557 g
• Dimensions: 235 × 155 mm
• Date of publishing: 30. July 2023

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