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From the Publisher

From the Preface

Audience

The target audience for this book is network administrators and operational security analysts, the personnel who work on NOC floors or who face an IDS console on a regular basis. Information security analysis is a young discipline, and there really is no well-defined body of knowledge I can point to and say, “Know this.” This book is intended to provide a snapshot of analytic techniques that I or other people have thrown at the wall over the past 10 years and seen stick. My expectation is that you have some familiarity with TCP/IP tools such as netstat, tcpdump, and wireshark.

In addition, I expect that you have some familiarity with scripting languages. In this book, I use Python as my go-to language for combining tools. The Python code is illustrative and might be understandable without a Python background, but it is assumed that you possess the skills to create filters or other tools in the language of your choice.

In the course of writing this book, I have incorporated techniques from a number of different disciplines. Where possible, I’ve included references back to original sources so that you can look through that material and find other approaches. Many of these techniques involve mathematical or statistical reasoning that I have intentionally kept at a functional level rather than going through the derivations of the approach. A basic understanding of statistics will, however, be helpful.

Contents of This Book

This book is divided into three sections: Data, Tools, and Analytics. The Data section discusses the process of collecting and organizing data. The Tools section discusses a number of different tools to support analytical processes. The Analytics section discusses different analytic scenarios and techniques. Here’s a bit more detail on what you’ll find in each.

Part I discusses the collection, storage, and organization of data. Data storage and logistics are critical problems in security analysis; it’s easy to collect data, but hard to search through it and find actual phenomena. Data has a footprint, and it’s possible to collect so much data that you can never meaningfully search through it.

Part II discusses a number of different tools to use for analysis, visualization, and reporting. The tools described in this section are referenced extensively in the third section of the book when discussing how to conduct different analytics.

Part III introduces analysis proper, covering how to apply the tools discussed throughout the rest of the book to address various security tasks. The majority of this section is composed of chapters on various constructs (graphs, distance metrics) and security problems (DDoS, fumbling).

Publisher ‏ : ‎ O’Reilly Media; 2nd edition (October 31, 2017)
Language ‏ : ‎ English
Paperback ‏ : ‎ 425 pages
ISBN-10 ‏ : ‎ 1491962844
ISBN-13 ‏ : ‎ 978-1491962848
Item Weight ‏ : ‎ 1.55 pounds
Dimensions ‏ : ‎ 6.9 x 0.8 x 9.1 inches

In today’s digital age, ensuring network security has never been more critical. With cyber threats constantly evolving and becoming more sophisticated, organizations need to take a proactive approach to protect their data and systems. One of the most effective ways to enhance network security is through data analysis.

By leveraging data analysis tools and techniques, organizations can gain valuable insights into their network traffic, identify potential vulnerabilities, and detect suspicious activities. This proactive approach allows organizations to take preemptive action to mitigate risks and prevent security breaches before they occur.

From analyzing network logs and traffic patterns to detecting anomalies and flagging potential threats, data analysis plays a crucial role in strengthening network security. By harnessing the power of data, organizations can better understand their network environment, pinpoint weaknesses, and implement targeted security measures to safeguard their data and systems.

In this post, we will explore how organizations can harness the power of data analysis to enhance network security. From collecting and analyzing data to deriving actionable insights and implementing security measures, we will delve into the key steps involved in leveraging data analysis for network security. Stay tuned for valuable insights and practical tips on how to turn data into action to bolster your organization’s network security defenses.
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