Abstract
The energy industry in Russia is characterized by sustainable development. Among other factors, this is due to automation of business processes in energy companies. However, as it was noted a long ago, computer systems and networks not only provide achievements and opportunities but also constitute additional risks and threats. Currently, design of a cyber risk management system represents a challenge for any enterprise. The paper presents classification of cyber risks, necessary for their further identification. Capabilities of Big Data and Data Mining technologies for cyber risk analysis are considered. Examples of such analysis (quantization, self-organizing maps) using the Deductor Studio analytical platform are provided. Based on the results obtained, we can argue that the proposed method proves to be effective.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kostyunina, T.N.: Classification of operational risks in construction companies on the basis of big data. In: MATEC Web of Conferences, vol. 193 (2018)
Analytical review of the Big Data market. http://www.ipoboard.ru/files/cms/5e3af134b9942559eb802ea93a1c9050
Analytical review of the Big Data market. https://habr.com/company/moex/blog/256747/
Operational risk. https://dic.academic.ru/dic.nsf/ruwiki/666706
Seitzhanov, B.S.: Risks in the construction industry—classification and analysis peculiarities. http://be5.biz/ekonomika1/r2011/00585.htm
Soboleva, E.A.: Specifics of design activity development in the investment and construction sector: detailed elaboration and prospects: monograph, 160 p. National Research University, Moscow State University of Civil Engineering, Moscow (2016)
Offer personalization: Big Data in client marketing. https://www.inbrief.ru/blog/41/. Accessed 23 Nov 2018
Why is Big Data confused with marketing and IT? https://vc.ru/marketing/12304-big-data-cases. Accessed 23 Nov 2018
Sokolova, A.: Big Data market in Russia. https://rb.ru/howto/big-data-in-russia/. Accessed 23 Nov 2018
Big Data technologies for client analytics. https://www.ibm.com/ru/events/presentations/connect2014/12_connect14.pdf. Accessed 23 Nov 2018
What are Big Data systems? https://promdevelop.ru/big-data/. Accessed 23 Nov 2018
Practice of using external data to improve efficiency of customer management. https://docplayer.ru/44609689-Praktika-ispolzovaniya-vneshnih-dannyh-dlya-povysheniya-effektivnosti-raboty-s-klientami.html. Accessed 23 Nov 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kostyunina, T. (2019). Data Mining Technologies for Analysis of Cyber Risks in Construction Energy Companies. In: Murgul, V., Pasetti, M. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018. EMMFT-2018 2018. Advances in Intelligent Systems and Computing, vol 983. Springer, Cham. https://doi.org/10.1007/978-3-030-19868-8_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-19868-8_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19867-1
Online ISBN: 978-3-030-19868-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)