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Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation de Sergei Petrenko

Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation

Autor Sergei Petrenko
en Limba Engleză Hardback – 28 mai 2018
This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets.  Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system.  

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. 


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Specificații

ISBN-13: 9783319790350
ISBN-10: 3319790358
Pagini: 442
Ilustrații: XXVII, 249 p. 93 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.57 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

1 Cyberspace as a potential source of threats to critical infrastructure and information infrastructure of the country as a whole.- 2 Capacity limit of state and corporate centers for responding to computer security incidents, CERT / CSIRT.- 3 Creation of ultra-high productivity supercomputer technologies for monitoring the Russian Federation cyberspace. The problem of organizing exascale computing.- 4 Necessity and general opportunity to create a national cyber-attack early warning cognitive system.- Conclusion.

Notă biografică


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. 


Textul de pe ultima copertă

This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets.  Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system.  

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. 

Caracteristici

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