Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
The models separation of access rights of users to critical documents of information system as factor of reduce impact of successful social engineering attacks. / Khlobystova, Anastasiia; Abramov, Maxim.
Russian Advances in Fuzzy Systems and Soft Computing: selected contributions to the 8-th International Conference on Fuzzy Systems, Soft Computing and Intelligent Technologies (FSSCIT-2020). 2020. p. 264-268 (CEUR Workshop Proceedings; Vol. 2782).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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TY - GEN
T1 - The models separation of access rights of users to critical documents of information system as factor of reduce impact of successful social engineering attacks
AU - Khlobystova, Anastasiia
AU - Abramov, Maxim
N1 - Publisher Copyright: © 2020 CEUR-WS. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Problem of protection information systems from multi-step social engineering attacks is still valid for a long time. However, there are a number of unresolved issues, associated with study in this field. One of them is correctly selection configuration of access rights distribution of the organization's employees to critical documents of the information system. Namely, such a model of distribution of access rights should be chosen, which would help to reduce impact of successful social engineering attacks. To achieve this goal, two different configuration of access rights of users to critical documents of information system were considered in this study. In addition, probabilistic estimates of success multi-step social engineering attack implementation by malefactor were presented. Note that the obtained probabilistic estimates are a hybrid model of a linguistic fuzzy variable due to the parameters included in these estimates. From a theoretical standpoint, the study contributes to the development of fuzzy hybrid computing models. In addition, the results can be applied practically in the design of decision support systems in the information security field. The global applicability of the presented results is seen in the development of information systems diagnostics in terms of security against social engineering attacks.
AB - Problem of protection information systems from multi-step social engineering attacks is still valid for a long time. However, there are a number of unresolved issues, associated with study in this field. One of them is correctly selection configuration of access rights distribution of the organization's employees to critical documents of the information system. Namely, such a model of distribution of access rights should be chosen, which would help to reduce impact of successful social engineering attacks. To achieve this goal, two different configuration of access rights of users to critical documents of information system were considered in this study. In addition, probabilistic estimates of success multi-step social engineering attack implementation by malefactor were presented. Note that the obtained probabilistic estimates are a hybrid model of a linguistic fuzzy variable due to the parameters included in these estimates. From a theoretical standpoint, the study contributes to the development of fuzzy hybrid computing models. In addition, the results can be applied practically in the design of decision support systems in the information security field. The global applicability of the presented results is seen in the development of information systems diagnostics in terms of security against social engineering attacks.
KW - Access rights
KW - Critical document
KW - Fuzzy hybrid computing
KW - Hybrid model
KW - Information security
KW - It is possible to make suppose
KW - Multi-step social engineering attack
KW - Social engineering
KW - That multi-step social engineering attacks can cause significantly more damage than direct (one-way) attacks. In addition
KW - The necessary changes. Against this backdrop
UR - http://www.scopus.com/inward/record.url?scp=85099014496&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85099014496
T3 - CEUR Workshop Proceedings
SP - 264
EP - 268
BT - Russian Advances in Fuzzy Systems and Soft Computing: selected contributions to the 8-th International Conference on Fuzzy Systems, Soft Computing and Intelligent Technologies (FSSCIT-2020)
T2 - Russian Advances in Fuzzy Systems and Soft Computing: Selected Contributions to the 8th International Conference on "Fuzzy Systems, Soft Soft Computing and Intelligent Technologies",FSSCIT 2020
Y2 - 29 June 2020 through 1 July 2020
ER -
ID: 87279145