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Threat Forecasting

Leveraging Big Data for Predictive Analysis

Authors: John Pirc, David DeSanto, Iain Davison, Will Gragido Publisher: Elsevier Science Publication date: 2016 Publication language: Angielski Number of pages: 188 Publication formats: EAN: 9780128004784 ISBN: 9780128004784 Category: Computing & information technology Publisher's index: 9780128000069 Bibliographic note: Will Gragido possesses over 21 years of information security experience. A former United States Marine, Mr. Gragido began his career in the data communications information security and intelligence communities. After USMC, Mr. Gragido worked within several information security consultancy roles performing and leading red teaming, penetration testing, incident response, security assessments, ethical hacking, malware analysis and risk management program development. Mr.Gragido has worked with a variety of industry leading research organizations including International Network Services, Internet Security Systems / IBM Internet Security Systems X-Force, Damballa, Cassandra Security, HP DVLabs, RSA NetWitness, and now Digital Shadows. Will has deep expertise and knowledge in operations, analysis, management, professional services & consultancy, pre-sales / architecture and strong desire to see the industry mature and enterprises & individuals become more secure. Will holds a CISSP and has accreditations with the National Security Agency's Information Security Assessment Methodology (IAM) and Information Security Evaluation Methodology (IEM). Mr.Gragido is a graduate of DePaul University and is currently in graduate school. An internationally sought after speaker, Will is the co-author of Cybercrime and Espionage: An Analysis of Subversive Multi-Vector Threats and Blackhatonomics: An Inside Look At The Economics of Cybercrime.

Description

Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk.



  • Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation tools
  • Explores the usage of kill chain modelling to inform actionable security intelligence
  • Demonstrates a methodology that can be used to create a full threat forecast analysis for enterprise networks of any size

Author's affiliation

John Pirc: Advisor, HP’s CISO on Cyber Security and form
David DeSanto: Director, Products & Threat Research, Spirent
Iain Davison: Security Engineer, Exabeam
Will Gragido: Faculty Member of the IANS Institute where he