Anomaly Detection : Recent Advances, AI and ML Perspectives and Applications.

Format:

Book

Author/Creator:

Parimala, Venkata Krishna.

Language:

English

Physical Description:

1 online resource (172 pages)

Edition:

1st ed.

Place of Publication:

London : IntechOpen, 2024.

Summary:

This book discusses and addresses anomaly detection in the context of artificial intelligence and machine learning advancements.Building on the existing literature, this thorough and timely work is an invaluable resource.

Contents:

Anomaly Detection - Recent Advances, AI and ML Perspectives and Applications

Contents

Preface

Section 1 Anomaly Detection withTime Series Data

Chapter1 Introductory Chapter: Anomaly Detection - Recent Advances, AI and ML Perspectives and Applications

Chapter2 Anomaly Detection in Medical Time Series with Generative Adversarial Networks: A Selective Review

Chapter3 Anomaly Detection in IoT: Recent Advances, AI and ML Perspectives and Applications

Chapter4 Anomaly Detection inTime Series: Current Focus and Future Challenges

Section 2 Anomaly Detection vs Intrusion Detection

Chapter5 Anomaly Detection through Adaptive DASO OptimizationTechniques

Chapter6 Anomaly Detection in Intrusion Detection Systems

Section 3 Anomaly Detection Models

Chapter7 Verification of Generalizability in Software Log Anomaly Detection Models.

Notes:

Description based on publisher supplied metadata and other sources.