Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data

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9780128002070: Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data

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

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About the Author:

Mark Ryan Talabis is a Manager for the Secure DNA Consulting practice. Prior to joining Secure DNA he was a consultant in the Asian Development Bank (ADB). He has extensive experience in information security risk assessments, information security policy and program development, vulnerability assessments and penetration testing and has specialized expertise in security analytics and data mining as applied to information security. He has a Master's degree in Information Technology; Certified Information Systems Security Professional (CISSP); Certified Information Systems Auditor (CISA); a GIAC Certified Incident Handler Certification (GCIH); a GIAC Security Essentials Certification (GSEC); Certified in Risk and Information Systems Control (CRISC); and a Microsoft Certified Professional (MCP) on SQL Server Administration;. He has presented in various security and academic conferences around the world including Blackhat and Defcon and has a number of published papers to his name in various peer-reviewed journals. He is an alumni member of the Honeynet Project and is currently taking a Master of Liberal Arts (ALM) in Extension Studies in Harvard University. 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 the President and CEO of Secure DNA, an Information Security Company that provides security solutions to companies throughout the United States and Asia. Prior to joining Secure DNA he was a Manager within KPMG's Information Risk Management group. In his professional services role Mr. Martin has successfully designed, implemented, and operated security programs for multi-billion dollar organizations within Hawaii and the US Mainland as well as provided subject matter expertise as an executive level security advisor to companies throughout the world. He is a Certified Information Security Manager (CISM), a Certified Information Systems Security Professional (CISSP), a Certified Information Systems Auditor (CISA), Certified in the Governance of Enterprise IT (CGEIT), and holds the designation as Certified in Risk and Information Systems Control (CRISC). He has advised Lawmakers on emerging cyber security risks and is working with legislatures to enhance state privacy laws. He is a frequent speaker and instructor at security and audit training events and seminars, is a founder of the Shakacon Security Conference, and is on the board of advisors for the Hackito Ergo Sum security conference in France. He is a former board member for the Hawaii chapter of ISACA and is a current board member for the Hawaii chapter of INFRAGARD.

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.

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Book Description Syngress Media,U.S., United States, 2014. Paperback. Book Condition: New. 234 x 188 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AAZ9780128002070

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Book Description Syngress Media,U.S., United States, 2014. Paperback. Book Condition: New. 234 x 188 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AAZ9780128002070

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Book Description Syngress Media,U.S. Paperback. Book Condition: new. BRAND NEW, Information Security Analytics: Finding Security Insights, Patterns and Anomalies in Big Data, Mark Talabis, Robert McPherson, Isamu Miyamoto, Jason Martin, 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. Bookseller Inventory # B9780128002070

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