Responsible Graph Neural Networks 1st Edition
by Nour Moustafa(Author), Mohamed Abdel-Basset(Author), Zahir Tari(Author), Hossam Hawash(Author)
Publisher finelybook 出版社: Chapman and Hall/CRC; 1st edition (June 5, 2023)
Language 语言: English
Print Length 页数: 330 pages
ISBN-10: 1032359897
ISBN-13: 9781032359892
Book Description
More frequent and complex cyber threats require robust, automated and rapid responses from cyber security specialists. This book offers a complete study in the area of graph learning in cyber, emphasising graph neural networks (GNNs) and their cyber security applications.
Three parts examine the basics; methods and practices; and advanced topics. The first part presents a grounding in graph data structures and graph embedding and gives a taxonomic view of GNNs and cyber security applications. Part two explains three different categories of graph learning including deterministic, generative and reinforcement learning and how they can be used for developing cyber defence models. The discussion of each category covers the applicability of simple and complex graphs, scalability, representative algorithms and technical details.
Undergraduate students, graduate students, researchers, cyber analysts, and AI engineers looking to understand practical deep learning methods will find this book an invaluable resource.
