Illumination of Artificial Intelligence in Cybersecurity and Forensics

ISBN-13: 9783030934521 / Angielski / Miękka / 2022 / 390 str.

Sanjay Misra; Chamundeswari Arumugam

Spis treści

A Practical Experience Applying Security Audit Techniques in an Industrial Healthcare System.- Feature Extraction and Artificial Intelligence-Based Intrusion Detection Model for a Secure Internet of Things Networks.- Intrusion Detection using Anomaly Detection Algorithm and Snort.- Research Perspective on Digital Forensic Tools and Investigation Process.- Intelligent Authentication Framework for Internet of Medical Things (IoMT).- Parallel Faces Recognition Attendance System with Anti-spoofing using Convolutional Neural Network.- A Systematic Literature Review on Face Morphing Attack Detection (MAD).- Averaging Dimensionality Reduction and Feature Level Fusion for Post-Processed Morphed Face Image Attack Detection.- A Systematic Literature Review on Forensics in Cloud, IoT, AI & Blockchain.- Predictive Forensic Based - Characterization of Hidden Elements in Criminal Networks using Baum-Welch Optimization Technique.- An Integrated IDS using ICA-based Feature Selection and SVM Classification Method.- A Binary Firefly Algorithm Based Feature Selection Method on High Dimensional Intrusion Detection Data.- Graphical Based Authentication Method Combined with City Block Distance for Electronic Payment System.- Authenticated Encryption to Prevent Cyberattacks in images.- Machine Learning in Automated Detection of Ransomware: Scope, Benefits and Challenges.

Blurb

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.