Anomaly Detection

Recent Advances, AI and ML Perspectives and Applications

BuchGebunden

168 Seiten

Englisch

IntechOpenerschienen am17.01.2024

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. 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. This book demystifies the challenges and presents solutions for detecting and understanding network anomalies. Whether you are a seasoned network professional or an enthusiast keen on cyber security, this volume promises insights that will fortify our connected futures. Join us in navigating the complexities of modern networks and championing a safer, more transparent digital era.mehr

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KlappentextThis 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. 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. This book demystifies the challenges and presents solutions for detecting and understanding network anomalies. Whether you are a seasoned network professional or an enthusiast keen on cyber security, this volume promises insights that will fortify our connected futures. Join us in navigating the complexities of modern networks and championing a safer, more transparent digital era.

Details

ISBN/GTIN978-1-83769-026-8

ProduktartBuch

EinbandartGebunden

Verlag

IntechOpen

Erscheinungsjahr2024

Erscheinungsdatum17.01.2024

ReiheArtificial Intelligence, Volume 24

Seiten168 Seiten

SpracheEnglisch

MasseBreite 183 mm, Höhe 260 mm, Dicke 16 mm