Electronic Resource

Business Process Management: 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
2008000321	EB0005105	005.74 Bus	Central Library (Database Springer E-Book)	Available

Detail Information

Series Title

Lecture Notes in Computer Science

Call Number

005.74 Bus

Publisher

Switzerland : Springer Cham., 2022

Collation

xxi, 454p.: Ill.

Language

English

ISBN/ISSN

978-3-031-16103-2

Classification

005.74

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Data structures (Computer science)

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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