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Illumination of Artificial Intelligence in Cybersecurity and Forensics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Illumination of Artificial Intelligence in Cybersecurity and Forensics/ edited by Sanjay Misra, Chamundeswari Arumugam.
其他作者:	Arumugam, Chamundeswari.
面頁冊數:	XV, 372 p. 115 illus., 86 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-93453-8
ISBN:	9783030934538

Illumination of Artificial Intelligence in Cybersecurity and Forensics
Illumination of Artificial Intelligence in Cybersecurity and Forensics[electronic resource] /edited by Sanjay Misra, Chamundeswari Arumugam. - 1st ed. 2022. - XV, 372 p. 115 illus., 86 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,1092367-4520 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.

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.

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.

ISBN: 9783030934538

Standard No.: 10.1007/978-3-030-93453-8doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

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