Overview
- Using Big Data and Deep Learning analysis, Petrenko explores a framework for an early-warning cybersecurity system for critically important governmental information assets
- Synthesizes scenarios of an early-warning cybersecurity system in cyberspace on extra-large volumes of structured and unstructured data from a variety of sources, including internet, intranet, IoT, and IIoT (Big Data and Big Data Analytics)
- Offers practical experience in the development of a complex system of cybersecurity based on Big Data and Business Intelligence technologies, as well as semantic and cognitive analysis able to proactively identify the invader's hidden meanings and goals
- Based on the results of the authors' research in the area of the Big Data acquisition, cognitive information technologies (Cogno-technologies), as well as models and methods of "computational cognitivism", it shows how the Russian Federation is implementing a framework to provide digital sovereignty and defensibility
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Table of contents (4 chapters)
Keywords
About this book
Most books on cybersecurity focus solely on the technical aspects. But Big Data Technologies for Monitoring of Computer Security demonstrates that military and political considerations should be included as well.
With a broad market including architects and research engineers in the field of information security, as well as managers of corporate and state structures, including Chief Information Officers of domestic automation services (CIO) and chief information security officers (CISO), this book can also be used as a case study in university courses.
Authors and Affiliations
About the author
Sergei Petrenko is Professor and head of the Information Security Center at Innopolis University in the Russian Federation. Previously, he worked as Director of the Center of Cybersecurity Systems JSFC Sistema, and designed integrated security systems for the Russian Federation, including three national control centers, two trusted MVNO service providers, five computer security incident response centers (CERT/CSIRT), and more than ten corporate and state segments SOPKA and SPOKA.
Bibliographic Information
Book Title: Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation
Authors: Sergei Petrenko
DOI: https://doi.org/10.1007/978-3-319-79036-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-79035-0Published: 28 May 2018
Softcover ISBN: 978-3-030-07711-2Published: 19 January 2019
eBook ISBN: 978-3-319-79036-7Published: 17 May 2018
Edition Number: 1
Number of Pages: XXVII, 249
Number of Illustrations: 93 b/w illustrations
Topics: Systems and Data Security, Security, Big Data/Analytics, International Security Studies