Smart log data analytics

1 Introduction 1.1 State of the art in security monitoring and anomaly detection1.2 Current trends1.3. future challenges1.4 Log data analysis: today and tomorrow 1.5 Smart log data analytics: Structure of the book1.6 Try it out: Hands-on examples throughout the book2 Survey on log clustering approaches2.1 Introduction2.2 Survey background2.1 The nature of log data2.2 Static clustering2.3 Dynamic ...

1 Introduction 1.1 State of the art in security monitoring and anomaly detection1.2 Current trends1.3. future challenges1.4 Log data analysis: today and tomorrow 1.5 Smart log data analytics: Structure of the book1.6 Try it out: Hands-on examples throughout the book2 Survey on log clustering approaches2.1 Introduction2.2 Survey background2.1 The nature of log data2.2 Static clustering2.3 Dynamic ...

1 Introduction 1.1 State of the art in security monitoring and anomaly detection1.2 Current trends1.3. future challenges1.4 Log data analysis: today and tomorrow 1.5 Smart log data analytics: Structure of the book1.6 Try it out: Hands-on examples throughout the book2 Survey on log clustering approaches2.1 Introduction2.2 Survey background2.1 The nature of log data2.2 Static clustering2.3 Dynamic ...

1 Introduction 1.1 State of the art in security monitoring and anomaly detection1.2 Current trends1.3. future challenges1.4 Log data analysis: today and tomorrow 1.5 Smart log data analytics: Structure of the book1.6 Try it out: Hands-on examples throughout the book2 Survey on log clustering approaches2.1 Introduction2.2 Survey background2.1 The nature of log data2.2 Static clustering2.3 Dynamic ...

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 ...

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 ...

1 Introduction 1.1 State of the art in security monitoring and anomaly detection1.2 Current trends1.3. future challenges1.4 Log data analysis: today and tomorrow 1.5 Smart log data analytics: Structure of the book1.6 Try it out: Hands-on examples throughout the book2 Survey on log clustering approaches2.1 Introduction2.2 Survey background2.1 The nature of log data2.2 Static clustering2.3 Dynamic ...