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Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data, by Mark Talabis, Robert McPherson, Inez Mi
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Information Security Analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques.
Information Security Analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis. Analytic techniques can help you mine data and identify patterns and relationships in any form of security data. Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type.
The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques through case studies and using freely-available tools that will allow you to find anomalies and outliers by combining disparate data sets. They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision-making tool to assess security control and process requirements within your organization. Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization.
- Written by security practitioners, for security practitioners
- Real-world case studies and scenarios are provided for each analytics technique
- Learn about open-source analytics and statistical packages, tools, and applications
- Step-by-step guidance on how to use analytics tools and how they map to the techniques and scenarios provided
- Learn how to design and utilize simulations for "what-if" scenarios to simulate security events and processes
- Learn how to utilize big data techniques to assist in incident response and intrusion analysis
- Sales Rank: #560160 in Books
- Published on: 2014-12-10
- Released on: 2014-11-26
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .41" w x 7.50" l, 1.11 pounds
- Binding: Paperback
- 182 pages
Review
"...a good how-to guide with plenty of coding examples, to show the reader how to effectively use the tools to make sense of the data they have....the gold-standard on the topic." --RSAConference.com
About the Author
Mark Ryan Talabis is the Chief Threat Scientist of Zvelo Inc. Previously he was the Director of the Cloud Business Unit of FireEye Inc. He was also the Lead Researcher and VP of Secure DNA and was an Information Technology Consultant for the Office of Regional Economic Integration (OREI) of the Asian Development Bank (ADB).
He is co-author of the book "Information Security Risk Assessment Toolkit: Practical Assessments through Data Collection and Data Analysis" from Syngress. He has presented in various security and academic conferences and organizations around the world including Blackhat, Defcon, Shakacon, INFORMS, INFRAGARD, ISSA, and ISACA. He has a number of published papers to his name in various peer-reviewed journals and is also an alumni member of the Honeynet Project.
He has a Master of Liberal Arts Degree (ALM) in Information Technology from Harvard University and a Master of Science (MS) degree in Information Technology from Ateneo de Manila University. He holds several certifications including a Certified Information Systems Security Professional (CISSP); Certified Information Systems Auditor (CISA); and Certified in Risk and Information Systems Control (CRISC).
Robert McPherson leads a team of data scientists for a Fortune 100 Insurance and Financial Service company in the US. He has 13 years of experience as a leader of research and analytics teams, specializing in predictive modeling, simulations, econometric analysis, and applied statistics. Bob works with a team of researchers who utilize simulation and big data methods to model the impact of catastrophes on millions of insurance policies...simulating up to 100,000 years of hurricanes, earthquakes, and wildfires, as well as severe winter and summer storms, on more than two trillion dollars worth of insured property value. He has used predictive modeling and advanced statistical methods to develop automated outlier detection methods, build automated underwriting models, perform product and customer segmentation analysis, and design competitor war game simulations.
I. Miyamoto is a computer investigator with a government agency. She has over 15 years of computer investigative and computer forensics experience and over 12 years intelligence analysis experience. She holds the following degrees: B.S. Software Engineering, B.A. in Japanese Language, M.A. in National Security and Strategic Studies, M.S. in Strategic Intelligence, M.A. in Management, M.Ed. in Special Education and Ed.D. in Education.
Jason Martin is Vice President of Cloud Business for FireEye, Inc. the global leader in advanced threat detection technology. Prior to joining FireEye Jason was the President and CEO of Secure DNA (acquired by FireEye), a company that provided innovative security products and solutions to companies throughout Asia-Pacific and the US Mainland. Customers included Fortune 1000 companies, global government agencies, state and local governments, and private organizations of all sizes. Mr. Martin has over fifteen years of experience in Information Security, is a published author and speaker, and is the co-founder of the Shakacon Security Conference.
Most helpful customer reviews
17 of 18 people found the following review helpful.
A Good Companion
By Frank C. Alvidrez
Often, you can tell the value of a book by what shape it's in. My copy of A Practical Guide to SysML is pretty beat up. Not only does it have a lot of my own scribbling in the margins and blue and yellow highlighting (blue for things to come back and skim and yellow for things to absolutely visit again), it has coffee, peach and other various stains. This book resides in my brief case (my satchel bag) and goes with me ("A Good Companion") when I have to accompany my wife on errands (if I am 30 minutes in any place I will read a passage or two). With this book and an iPod, I can handle anything including long waits in any airport or any delays anywhere.
Sandy and the team do an outstanding job of introducing the reader into one of the most important new System Engineering tools available today; SysML. As pointed out by others, it's not just about software anymore, it often about architectures and the enterprise. As the trends in system development move from platform centric to NetCentric, as work for organizations moves from individuals to collaborative enterprise efforts and as we all try to improve our processes and add value to collaborative efforts, a model of "what we're doing" becomes so important. The team does an outstanding job of presenting the concept of Model Based System Engineering (MBSE) in Chapter 2 and providing a great example to follow in the subsequent chapters. Throughout the book, the explanation of the diagrams and concepts are thorough and easy to understand. I thank the authors for making it interesting and relevant.
For those just starting in the field, this book is an outstanding accompaniment to any of the SysML CASE tools that are emerging. In fact, I highly recommend to anybody who is going to be working in the System Engineering field (be it automotive, aerospace, civil engineering, architecture, software, disaster relief, etc.) to keep a copy of this book handy in case you get delayed some place and want make use of some spare time.
Frank C. Alvidrez, CEA
Lancaster, CA
Post Scrip (Feb 09) - I had the great fortune of attending a two day intense INCOSE sponsored tutorial on SysML taught by Sandy in Old Town Pasadena Nov 08. Wow, what a drink from the knowledge fire hose. Sandy's insight in model organization (using block diagrams for domain modeling) of complex projects was just one stunning eye opener. If anybody gets a chance to attend of one these, do it.
- Frank
9 of 10 people found the following review helpful.
Review of Part I
By L. Levine
So far, I have read all of part one and sizeable portions of subsequent text. Part One, about 60 pages long, is one of the best introductions to a very technical book aimed at the semi-technical audience. Through example, easy-to-follow diagrams & well-written English, the authors nearly seduce their readership into wanting to master the remainder of this long systems engineering text focussed on a highly-regard industry standard (OMG SysML). Part one is suitable for assignment as a week's worth of reading in Undergraduate and Graduate courses in Systems Engineering.
4 of 4 people found the following review helpful.
Good guide for those looking to get a solid into to information security data analytics
By Ben Rothke
Getting log data is not an IT challenge. But the information security challenge and a huge struggle for those who are tasked with it, is making sense of a near infinite amount of data.
In Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data, authors Mark Talabis, Robert McPherson, I. Miyamoto and Jason Martin have created a brief guide that shows how you can take the myriad raw data, and turn it into meaningful analytics.
The authors focus on the methods that are particularly useful for discovering security breaches and attacks, which can be implemented via either free software, or using commonly available software.
Like most titles on data analytics, the book places a heavy influence on R, is a programming language and software environment for statistical computing.
The book is a good how-to guide with plenty of coding examples, to show the reader how to effectively use the tools to make sense of the data they have.
For those new to the topic of data analytics, Data-Driven Security: Analysis, Visualization and Dashboards by Jay Jacobs and Bob Rudis is the gold-standard on the topic.
This book builds on that with an emphasis on information security is a worth a read for those with an interest in the topic.
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