Standard

Approaches to development of models for text analysis of information in social network profiles in order to evaluate user's vulnerabilities profile. / Bagretsov, Georgiy I.; Shindarev, Nikita A.; Abramov, Maksim V.; Tulupyeva, Tatyana V.

Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. ed. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2017. p. 93-95 7970505.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Bagretsov, GI, Shindarev, NA, Abramov, MV & Tulupyeva, TV 2017, Approaches to development of models for text analysis of information in social network profiles in order to evaluate user's vulnerabilities profile. in S Shaposhnikov (ed.), Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017., 7970505, Institute of Electrical and Electronics Engineers Inc., pp. 93-95, 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017, St. Petersburg, Russian Federation, 24/05/17. https://doi.org/10.1109/SCM.2017.7970505

APA

Bagretsov, G. I., Shindarev, N. A., Abramov, M. V., & Tulupyeva, T. V. (2017). Approaches to development of models for text analysis of information in social network profiles in order to evaluate user's vulnerabilities profile. In S. Shaposhnikov (Ed.), Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 (pp. 93-95). [7970505] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCM.2017.7970505

Vancouver

Bagretsov GI, Shindarev NA, Abramov MV, Tulupyeva TV. Approaches to development of models for text analysis of information in social network profiles in order to evaluate user's vulnerabilities profile. In Shaposhnikov S, editor, Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 93-95. 7970505 https://doi.org/10.1109/SCM.2017.7970505

Author

Bagretsov, Georgiy I. ; Shindarev, Nikita A. ; Abramov, Maksim V. ; Tulupyeva, Tatyana V. / Approaches to development of models for text analysis of information in social network profiles in order to evaluate user's vulnerabilities profile. Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. editor / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 93-95

BibTeX

@inproceedings{94fd657b839846a4820ac226b0c3998a,
title = "Approaches to development of models for text analysis of information in social network profiles in order to evaluate user's vulnerabilities profile",
abstract = "Nowadays, information systems protection against social engineering attacks is one of the main issues in the field of informational security. Intruders often refer to publicly available sources where users place personal information of various types. This information makes it possible for an intruder to determine the most effective way to attack user. In this paper we discuss one of the approaches to search and collect user's public information in an automated fashion on the example of social network VK.com. Besides, prototyping of the software for text information analysis for evaluation degrees of vulnerabilities included into the user's vulnerabilities profile was presented.",
keywords = "information protect, information security, profile of psychological characteristics, social engineering attacks, text data analysis, user's protect, user's vulnerabilities profile, social engineering attacks, information security, user{\textquoteright}s protect, information protect, text data analysis, user{\textquoteright}s vulnerabilities profile, profile of psychological characteristics",
author = "Bagretsov, {Georgiy I.} and Shindarev, {Nikita A.} and Abramov, {Maksim V.} and Tulupyeva, {Tatyana V.}",
note = "Bagretsov G.I., Shindarev N.A., Abramov M.V., Tulupyeva T.V. Approaches to development of models for text analysis of information in social network profiles in order to evaluate user{\textquoteright}s vulnerabilities profile // Soft Computing and Measurements (SCM), 2017 XX IEEE International Conference on. IEEE, 2017. P. 93–95.; 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 ; Conference date: 24-05-2017 Through 26-05-2017",
year = "2017",
month = jul,
day = "6",
doi = "10.1109/SCM.2017.7970505",
language = "English",
pages = "93--95",
editor = "S. Shaposhnikov",
booktitle = "Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Approaches to development of models for text analysis of information in social network profiles in order to evaluate user's vulnerabilities profile

AU - Bagretsov, Georgiy I.

AU - Shindarev, Nikita A.

AU - Abramov, Maksim V.

AU - Tulupyeva, Tatyana V.

N1 - Bagretsov G.I., Shindarev N.A., Abramov M.V., Tulupyeva T.V. Approaches to development of models for text analysis of information in social network profiles in order to evaluate user’s vulnerabilities profile // Soft Computing and Measurements (SCM), 2017 XX IEEE International Conference on. IEEE, 2017. P. 93–95.

PY - 2017/7/6

Y1 - 2017/7/6

N2 - Nowadays, information systems protection against social engineering attacks is one of the main issues in the field of informational security. Intruders often refer to publicly available sources where users place personal information of various types. This information makes it possible for an intruder to determine the most effective way to attack user. In this paper we discuss one of the approaches to search and collect user's public information in an automated fashion on the example of social network VK.com. Besides, prototyping of the software for text information analysis for evaluation degrees of vulnerabilities included into the user's vulnerabilities profile was presented.

AB - Nowadays, information systems protection against social engineering attacks is one of the main issues in the field of informational security. Intruders often refer to publicly available sources where users place personal information of various types. This information makes it possible for an intruder to determine the most effective way to attack user. In this paper we discuss one of the approaches to search and collect user's public information in an automated fashion on the example of social network VK.com. Besides, prototyping of the software for text information analysis for evaluation degrees of vulnerabilities included into the user's vulnerabilities profile was presented.

KW - information protect

KW - information security

KW - profile of psychological characteristics

KW - social engineering attacks

KW - text data analysis

KW - user's protect

KW - user's vulnerabilities profile

KW - social engineering attacks

KW - information security

KW - user’s protect

KW - information protect

KW - text data analysis

KW - user’s vulnerabilities profile

KW - profile of psychological characteristics

UR - http://www.scopus.com/inward/record.url?scp=85027178796&partnerID=8YFLogxK

U2 - 10.1109/SCM.2017.7970505

DO - 10.1109/SCM.2017.7970505

M3 - Conference contribution

AN - SCOPUS:85027178796

SP - 93

EP - 95

BT - Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

A2 - Shaposhnikov, S.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

Y2 - 24 May 2017 through 26 May 2017

ER -

ID: 36752461