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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Databases

• Plný název: Illumination of Artificial Intelligence in Cybersecurity and Forensics
• Autor: Sanjay Misra, Chamundeswari Arumugam
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 372
• EAN: 9783030934521
• ID: 38504546
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 593 g
• Rozměry: 235 × 155 × 21 mm
• Datum vydání: 09. February 2022

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