Abstract
The goal of this article is to propose an approach to linguistic values quantification and to consider an example of its application to the relationship types between users in the popular social network in Russia “VK”. To achieve this aim, we used the results of a sociological survey, by which were found the frequency of the order, then the probability theory apparatus was used. This research can be useful in studying of the influence of the types of users’ relationships on the execution of requests, also finds its use in building social graph of the organization’s employees and indirectly in obtaining estimates of the success of multi-pass Social engineering attacks propagation.
The research was carried out in the framework of the project on state assignment SPIIRAS № 0073-2019-0003, with the financial support of the RFBR (project №18-01-00626, № 18-37-00323).
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Abramov, M., Tulupyeva, T., Tulupyev, A.: Social Engineering Attacks: social networks and user security estimates. SUAI, St. Petersburg (2018), 266 p.
Azarov, A.A., Abramov, M.V., Tulupyeva, T.V., Tulupyev, A.L.: Users’ of Information System Protection Analysis from Malefactor’s Social Engineering Attacks Taking into Account Malefactor’s Competence Profile, Biologically Inspired Cognitive Architectures (BICA) for Young Scientists, pp. 25–30 (2016)
Bapna, R., Gupta, A., Rice, S., Sundararajan, A.: Trust and the strength of ties in online social networks: an exploratory field experiment. MIS Q. 41(1), 115–130 (2017)
Curtis, S.R., Rajivan, P., Jones, D.N., Gonzalez, C.: Phishing attempts among the dark triad: patterns of attack and vulnerability. Comput. Hum. Behav. 87, 174–182 (2018)
FBI Warns of Chinese Law Enforcement Impersonation Scam. https://www.fbi.gov/contact-us/field-offices/seattle/news/press-releases/fbi-warns-of-chinese-law-enforcement-impersonation-scam. Accessed 12 Apr 2019
Fifth Bronx Man Pleads Guilty In Multimillion-Dollar Ghana-Based Fraud Scheme Involving Business Email Compromises And Romance Scams Targeting Elderly. https://www.justice.gov/usao-sdny/pr/fifth-bronx-man-pleads-guilty-multimillion-dollar-ghana-based-fraud-scheme-involving. Accessed 15 Apr 2019
Is social engineering the biggest threat to your organization? https://www.microsoft.com/security/blog/2017/04/19/is-social-engineering-the-biggest-threat-to-your-organization/. Accessed 12 Dec 2018
Kharitonov, N.A., Maximov, A.G., Tulupyev, A.L.: Algebraic Bayesian networks: the use of parallel computing while maintaining various degrees of consistency. Studies in Systems, Decision and Control, vol. 199, pp. 696–704. Springer (2019)
Khlobystova, A.O., Abramov, M.V., Tulupyev, A.L., Zolotin, A.A.: Identifying the most critical trajectory of the spread of a social engineering attack between two users. Informatsionno-upravliaiushchie sistemy (Inf. Control Syst.) 6, 74–81 (2018)
Khovanov, N.V.: Measurement of a discrete indicator utilizing nonnumerical, inaccurate, and incomplete information. Meas. Tech. 46(9), 834–838 (2003)
Leading active social media platforms in Russia in 2018. https://www.statista.com/statistics/867549/top-active-social-media-platforms-in-russia/. Accessed 10 Apr 2019
Maiz, A., Arranz, N., Fdez. de Arroyabe, J.C.: Factors affecting social interaction on social network sites: the Facebook case. J. Enterp. Inf. Manag. 29(5), 630–649 (2016)
Schifferle. L.W.: Romance scams will cost you. https://www.consumer.ftc.gov/blog/2019/02/romance-scams-will-cost-you. Accessed 04 Apr 2019
Suleimanov, A., Abramov, M., Tulupyev, A.: Modelling of the social engineering attacks based on social graph of employees communications analysis. In: Proceedings of 2018 IEEE Industrial Cyber-Physical Systems (ICPS), St.-Petersburg, pp. 801–805 (2018)
Tulupyev, A., Kharitonov, N., Zolotin, A.: Algebraic Bayesian networks: consistent fusion of partially intersected knowledge systems. In: The Second International Scientific and Practical Conference “Fuzzy Technologies in the Industry – FTI 2018”. CEUR Workshop Proceedings, pp. 109–115 (2018)
Weekly Threat Report 10th August 2018. https://www.ncsc.gov.uk/report/weekly-threat-report-10th-august-2018. Accessed 19 Feb 2019
Yang, Z., Kong, X., Sun, J., Zhang, Y.: Switching to green lifestyles: behavior change of ant forest users. Int. J. Environ. Res. Public Health 15(9), 1819 (2018)
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Khlobystova, A., Korepanova, A., Maksimov, A., Tulupyeva, T. (2020). An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_21
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