Logging and log management : the authoritative guide to understanding the concepts surrounding logging and log management

著者

    • Schmidt, Kevin J. (Kevin James)
    • Phillips, Christopher
    • Moulder, Partricia

書誌事項

Logging and log management : the authoritative guide to understanding the concepts surrounding logging and log management

Anton A. Chuvakin, Kevin J. Schmidt, Christopher Phillips ; Partricia Moulder, technical editor

Syngress, c2013

  • : pbk

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Logging and Log Management: The Authoritative Guide to Understanding the Concepts Surrounding Logging and Log Management introduces information technology professionals to the basic concepts of logging and log management. It provides tools and techniques to analyze log data and detect malicious activity. The book consists of 22 chapters that cover the basics of log data; log data sources; log storage technologies; a case study on how syslog-ng is deployed in a real environment for log collection; covert logging; planning and preparing for the analysis log data; simple analysis techniques; and tools and techniques for reviewing logs for potential problems. The book also discusses statistical analysis; log data mining; visualizing log data; logging laws and logging mistakes; open source and commercial toolsets for log data collection and analysis; log management procedures; and attacks against logging systems. In addition, the book addresses logging for programmers; logging and compliance with regulations and policies; planning for log analysis system deployment; cloud logging; and the future of log standards, logging, and log analysis. This book was written for anyone interested in learning more about logging and log management. These include systems administrators, junior security engineers, application developers, and managers.

目次

Chapter 1 Logs, Trees, Forest: the Big Picture Chapter 2 What is a Log? Chapter 3 Generating Logs Chapter 4 Log Storage Technologies Chapter 5 Case study: syslog-ng Chapter 6 Covert logging Chapter 7 Analysis Goals, Planning and Preparation: What Are We Looking for? Chapter 8 Simple Analysis Techniques Chapter 9 Filtering, Matching and Correlation Chapter 10 Statistical Analysis Chapter 11 Log Data Mining Chapter 12 Reporting and Summarization Chapter 13 Visualizing Log Data Chapter 14 Logging Laws and Logging Mistakes Chapter 15 Tools for Log Analysis and Collection Chapter 16 Log Management Procedures: Escalation, Response Chapter 17 Attacks against logging systems Chapter 18 Logging for Programmers Chapter 19 Logs and Compliance Chapter 20 Planning Your Own Log Analysis System Chapter 21 Cloud Logging Chapter 22 Log Standard and Future Trends

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