Network Security Through Data Analysis

From Data to Action

Nonfiction, Computers, Networking & Communications, Computer Security, Operating Systems, Application Software
Cover of the book Network Security Through Data Analysis by Michael Collins, O'Reilly Media
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Michael Collins ISBN: 9781491962794
Publisher: O'Reilly Media Publication: September 8, 2017
Imprint: O'Reilly Media Language: English
Author: Michael Collins
ISBN: 9781491962794
Publisher: O'Reilly Media
Publication: September 8, 2017
Imprint: O'Reilly Media
Language: English

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it.

In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics.

You’ll learn how to:

  • Use sensors to collect network, service, host, and active domain data
  • Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect
  • Detect unusual phenomena through exploratory data analysis (EDA), using visualization and mathematical techniques
  • Analyze text data, traffic behavior, and communications mistakes
  • Identify significant structures in your network with graph analysis
  • Examine insider threat data and acquire threat intelligence
  • Map your network and identify significant hosts within it
  • Work with operations to develop defenses and analysis techniques
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it.

In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics.

You’ll learn how to:

More books from O'Reilly Media

Cover of the book Learning ASP.NET 3.5 by Michael Collins
Cover of the book Mobile App Development with Ionic, Revised Edition by Michael Collins
Cover of the book Weniger schlecht programmieren by Michael Collins
Cover of the book Java: The Good Parts by Michael Collins
Cover of the book Developing with Couchbase Server by Michael Collins
Cover of the book JavaScript: The Definitive Guide by Michael Collins
Cover of the book The Data Journalism Handbook by Michael Collins
Cover of the book Learning Perl by Michael Collins
Cover of the book macOS Sierra: The Missing Manual by Michael Collins
Cover of the book XML Pocket Reference by Michael Collins
Cover of the book Getting Started with Varnish Cache by Michael Collins
Cover of the book Getting Started with Kudu by Michael Collins
Cover of the book Elasticsearch: The Definitive Guide by Michael Collins
Cover of the book Kindle Fire HD: The Missing Manual by Michael Collins
Cover of the book Office 2007: The Missing Manual by Michael Collins
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy