Artificial Intelligence for Cybersecurity

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Éditeur :

Springer


Collection :

Advances in Information Security

Paru le : 2022-07-15

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Description

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.
Pages
380 pages
Collection
Advances in Information Security
Parution
2022-07-15
Marque
Springer
EAN papier
9783030970864
EAN PDF
9783030970871

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
12349 Ko
Prix
158,24 €
EAN EPUB
9783030970871

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
49152 Ko
Prix
158,24 €