Overview
- Provides recent research on cybersecurity and cyber forensics
- Enables the practitioners to get connected with the artificial intelligence approach toward cybersecurity and forensics
- Highlights the research findings, challenges, techniques, and practices applicable in security and forensics
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 109)
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Table of contents (15 chapters)
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Front Matter
Keywords
About this book
This book covers a variety of topics that span from industry to academics: hybrid AI model for IDS in IoT, intelligent authentication framework for IoMT mobile devices for extracting bioelectrical signals, security audit in terms of vulnerability analysis to protect the electronic medical records in healthcare system using AI, classification using CNN a multi-face recognition attendance system with anti-spoofing capability, challenges in face morphing attack detection, a dimensionality reduction and feature-level fusion technique for morphing attack detection (MAD) systems, findings and discussion on AI-assisted forensics, challenges and open issues in the application of AI in forensics, a terrorist computational model that uses Baum–Welch optimization to improve the intelligence and predictive accuracy of the activities of criminal elements, a novel method for detecting security violations in IDSs, graphical-based city block distance algorithm method for E-payment systems, image encryption, and AI methods in ransomware mitigation and detection. It assists the reader in exploring new research areas, wherein AI can be applied to offer solutions through the contribution from researchers and academia.
Editors and Affiliations
Bibliographic Information
Book Title: Illumination of Artificial Intelligence in Cybersecurity and Forensics
Editors: Sanjay Misra, Chamundeswari Arumugam
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-030-93453-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-93452-1Published: 09 February 2022
eBook ISBN: 978-3-030-93453-8Published: 08 February 2022
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XV, 372
Number of Illustrations: 29 b/w illustrations, 86 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Systems and Data Security, Artificial Intelligence