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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Smart Log Data Analytics
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Smart Log Data Analytics
Florian Skopik, Markus Wurzenberger, Max Landauer (Gebundene Ausgabe, Englisch)
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Beschreibung
This book provides insights into smart ways of computer log data analysis, with the goal of spotting adversarial actions. It is organized into 3 major parts with a total of 8 chapters that include a detailed view on existing solutions, as well as novel techniques that go far beyond state of the art. The first part of this book motivates the entire topic and highlights major challenges, trends and… design criteria for log data analysis approaches, and further surveys and compares the state of the art. The second part of this book introduces concepts that apply character-based, rather than token-based, approaches and thus work on a more fine-grained level. Furthermore, these solutions were designed for “online use”, not only forensic analysis, but also process new log lines as they arrive in an efficient single pass manner. An advanced method for time series analysis aims at detecting changes in the overall behavior profile of an observed system and spotting trends and periodicitiesthrough log analysis. The third part of this book introduces the design of the AMiner, which is an advanced open source component for log data anomaly mining. The AMiner comes with several detectors to spot new events, new parameters, new correlations, new values and unknown value combinations and can run as stand-alone solution or as sensor with connection to a SIEM solution. More advanced detectors help to determines the characteristics of variable parts of log lines, specifically the properties of numerical and categorical fields. Detailed examples throughout this book allow the reader to better understand and apply the introduced techniques with open source software. Step-by-step instructions help to get familiar with the concepts and to better comprehend their inner mechanisms. A log test data set is available as free download and enables the reader to get the system up and running in no time. This book is designed for researchers working in the field of cyber security, and specifically system monitoring, anomaly detection and intrusion detection. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, and information systems. Forward-thinking practitioners, who would benefit from becoming familiar with the advanced anomaly detection methods, will also be interested in this book. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
29.08.2021
Sprache
Englisch
EAN
9783030744496
Herausgeber
Springer International Publishing
Sonderedition
Nein
Autor
Florian Skopik, Markus Wurzenberger, Max Landauer
Seitenanzahl
208
Auflage
1
Einbandart
Gebundene Ausgabe
Buch Untertitel
Techniques for Advanced Security Analysis
Schlagwörter
Cyber security, computer security, log data analysis, anomaly detection, machine learning, system behavior, system monitoring, model building, clustering, incremental clustering, outlier detection, online processing, event processing, time series analysis, log data parser, statistical tests
Thema-Inhalt
UR - Computersicherheit
UTN - Netzwerksicherheit
UYQM - Maschinelles Lernen
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
UYQP - Mustererkennung
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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