Parimala Venkata Krishna, Engelbrecht Andries (eds.) Anomaly Detection: Recent Advances, AI and ML Perspectives and Applications

ITexLi, 2024. — 146 p. — ISBN: 1837690278 9781837690275 183769026X 9781837690268 1837690286 9781837690282.This book discusses and addresses anomaly detection in the context of artificial intelligence and machine learning advancements. The book demystifies the challenges and presents solutions for detecting and understanding network anomalies. Building on the existing literature, this thorough and timely work is an invaluable resource. It highlights various problems, offers workable solutions to those problems, and allows academic and professional researchers and practitioners to engage in new technologies linked to anomaly detection. Whether you are a seasoned network professional or an enthusiast keen on cyber security, this volume promises insights that will fortify our connected futures.Anomaly Detection Recent Advances, AI and ML Perspectives and Applications.
Anomaly Detection in Medical Time Series with Generative Adversarial Networks: A Selective Review.
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Anomaly Detection through Adaptive DASO Optimization Techniques.
Anomaly Detection in Intrusion Detection Systems.
Verification of Generalizability in Software Log Anomaly Detection Models.