Illumination of Artificial Intelligence in Cybersecurity and Forensics
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…
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Produktdetails
Weitere Autoren: Arumugam, Chamundeswari (Hrsg.)
- ISBN: 978-3-030-93452-1
- EAN: 9783030934521
- Produktnummer: 38411433
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 388 S.
- Masse: H23.5 cm x B15.5 cm x D2.0 cm 587 g
- Auflage: 1st ed. 2022
- Abbildungen: Paperback
- Gewicht: 587
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