Abstract
This chapter describes an application of decision support systems to conflict modelling in information operations recognition. An information operation is considered as a complex weakly structured system. We suggest a model of conflict between two subjects, based on the second-order reflexive model. We describe a method for construction of the design pattern for knowledge bases of decision support systems. We also suggest a methodology allowing to use decision support systems for modelling of conflicts during information operations recognition. The methodology is based on the use of expert assessments and content monitoring data.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Chertov, O., Rudnyk, T., Palchenko, O.: Search of phony accounts on Facebook: Ukrainian case. In: International Conference on Military Communications and Information Systems, ICMCIS, 22–23 May 2018
Lewandowsky, S., Ecker, U.K.H., Seifert, C.M., Schwarz, N., Cook, J.: Misinformation and its correction continued influence and successful debiasing. Psychol. Sci. Public Interest 13(3), 106–131 (2012). (Department of Human Development, Cornell University, USA)
Berinsky, A.J.: Rumors and health care reform: experiments in political misinformation. Br. J. Polit. Sci. 47(2), 241–262 (2017)
Information operations roadmap. DoD US. GPO, Washington, D.C. (2003)
Military Information Support Operations. Joint Publication 3-13.2. 07 Jan 2010, Incorporating Change 1 20 Dec 2011, p. 10. https://fas.org/irp/doddir/dod/jp3-13-2.pdf
Kadenko, S.V.: Prospects and potential of expert decision-making support techniques implementation in information security area. In: CEUR Workshop Proceedings (ceur-ws.org), vol. 1813 urn:nbn:de:0074-1813-0. Selected Papers of the XVI International Scientific and Practical Conference “Information Technologies and Security” (ITS 2016) Kyiv, Ukraine, 1 Dec 2016, pp. 8–14. https://ceur-ws.org/Vol-1813/paper2.pdf
Lee, D.T.: Expert decision-support systems for decision-making. J. Inf. Technol. 3(2), 85–94 (1988)
von Neumann, J., Morgenstern, O.: Theory of Games and Economic Behavior: 60th Anniversary Commemorative Edition, Princeton Classic edn, 776 p. Princeton University Press (2007)
Takehiro, I.: Relational Nash equilibrium and interrelationships among relational and rational equilibrium concepts. Appl. Math. Comput. 199(2), 704–715 (2008)
Colin, R.: Non-linear strategies in a linear quadratic differential game. J Econ. Dyn. Control 31(10), 3179–3202 (2007)
Martin, J.: Osborne, Ariel Rubinstein, “A Course in Game Theory,” p. 14. MIT, Cambridge, MA (1994)
Schelling, T.: The Strategy of Conflict. Harvard University Press, Cambridge, MA, (1960, 1963) 1980, 309 p
Totsenko, V.G.: One approach to the decision making support in R&D planning. Part 2. The method of goal dynamic estimating of alternatives. J. Autom. Inf. Sci. 33(4), 82–90 (2001)
Lefebvre, V.A.: Algebra of Conscience, 358 p Springer, The Netherlands (2001)
Novikov, D., Korepanov, V., Chkhartishvili, A.: Reflexion in mathematical models of decision-making. Int. J. Parallel Emergent Distrib. Syst. 33(3), 319–335 (2018)
Lande, D.V., Andriichuk, O.V., Hraivoronska, A.M., Guliakina, N.A.: Application of decision-making support, nonlinear dynamics, and computational linguistics methods during detection of information operations. In: CEUR Workshop Proceedings (ceur-ws.org), vol. 2067 urn:nbn:de:0074-2067-8. Selected Papers of the XVII International Scientific and Practical Conference on Information Technologies and Security (ITS 2017), Kyiv, Ukraine, 30 Nov 2017, pp. 76–85
Andriichuk, O., Lande, D., Hraivoronska, A.: Usage of decision support systems in information operations recognition. Recent developments in data science and intelligent analysis of information/advances in intelligent systems and computing (ISSN: 2194-5357). In: Proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information, 4–7 June 2018, Kyiv, Ukraine. Springer Nature, Berlin, vol. 836, pp. 227–237 (2018)
Tsyganok, V.V., Kadenko, S.V., Andriichuk, O.V.: Simulation of expert judgements for testing the methods of information processing in decision-making support systems. J. Autom. Inf. Sci. 43(12), 21–32 (2011)
Tsyganok, V.V., Kadenko, S.V., Andriichuk, O.V.: Considering importance of information sources during aggregation of alternative rankings. In: CEUR Workshop Proceedings (ceur-ws.org), vol. 2067 urn:nbn:de:0074-2067-8. Selected Papers of the XVII International Scientific and Practical Conference on Information Technologies and Security (ITS 2017), Kyiv, Ukraine, 30 Nov 2017, pp. 132–141
Bachmann, V., Sidaway, J.D.: Brexit geopolitics. Geoforum 77, 47–50 (2016)
Acknowledgements
This study is funded by the NATO SPS Project CyRADARS (Cyber Rapid Analysis for Defence Awareness of Real-time Situation), Project SPS G5286.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Andriichuk, O., Tsyganok, V., Lande, D., Chertov, O., Porplenko, Y. (2021). Usage of Decision Support Systems for Modelling of Conflicts During Recognition of Information Operations. In: Tagarev, T., Atanassov, K.T., Kharchenko, V., Kacprzyk, J. (eds) Digital Transformation, Cyber Security and Resilience of Modern Societies. Studies in Big Data, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-030-65722-2_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-65722-2_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-65721-5
Online ISBN: 978-3-030-65722-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)