Smart Log Data Analytics: Techniques for Advanced Security Analysis


Smart Log Data Analytics: Techniques for Advanced Security Analysis
Authors: Florian Skopik
Year: 2021
Publisher: Springer
Language: English
ISBN 13: 9783030744496
ISBN 10: 3030744493
Categories: Computers, Computer Science
Pages: 320 / 319
Edition: 1st ed. 2021

Availability: 5000 in stock

SKU: 9783030744496 Categories: ,

Smart Log Data Analytics: Techniques for Advanced Security Analysis Florian Skopik, Markus Wurzenberger, Max Landauer
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 periodicities through 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 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.
Computers – Computer Science
1st ed. 2021
223 / 210
ISBN 10:
ISBN 13:
12 MB


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Smart Log Data Analytics: Techniques for Advanced Security Analysis

Availability: 5000 in stock