Advanced Techniques for Anomaly Detection: Beyond the Basics

by Abdul Wahid (Editor), Praveen Kumar Donta (Editor)

Overview

This book is a comprehensive guide that explores the latest developments in anomaly detection techniques across a range of fields, including cybersecurity, finance, image processing, sensor networks, social network analysis, health systems, and IoT systems. With 6 chapters covering various topics such as deep learning-based anomaly detection, feature selection and extraction techniques, ensemble methods, and evaluation metrics, this book offers a comprehensive understanding of advanced anomaly detection techniques and their applications in different fields. This book will be an excellent resource for researchers, practitioners, and students interested in anomaly detection and its applications in various domains.

Product Details

ISBN-13:	9781040321560
Publisher:	CRC Press
Publication date:	05/08/2025
Sold by:	Barnes & Noble
Format:	eBook
Pages:	194
File size:	3 MB

About the Author

Abdul Wahid, PhD, Department of Computer Science and Engineering, Indian Institute of Information Technology, Dharwad, India.

Praveen Kumar Donta, PhD, Department of Computer and Systems Sciences, Stockholm, Sweden.

Table of Contents

Chapter 1 : Anomaly Detection in Carbon Sequestration: Advancements, Challenges, and Future Directions. Chapter 2: Intelligent Anomaly Detection in Social Media. Chapter 3: Anomaly Detection in Health-Care. Chapter 4: Safeguarding Health in the Cloud: A Cutting-Edge Machine Learning Intrusion Detection. Chapter 5: Deep Learning for Anomaly Detection in IoT Time Series. Chapter 6: Pen Ink Analysis in Handwritten Document Forensics: Classification and Current Trends