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Artificial Intelligence for Cybersecurity
Hardcover
Series: Advances in Information Security, Book 54
General ComputersProbability & StatisticsComputer Security
ISBN13: 9783030970864
Publisher: Springer
Published: Jul 16 2022
Pages: 380
Weight: 1.62
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
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.
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