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

Georgiy I. Bagretsov; Nikita A. Shindarev; Maksim V. Abramov; Tatyana V. Tulupyeva

doi:10.1109/SCM.2017.7970505

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

Georgiy I. Bagretsov, Nikita A. Shindarev, Maksim V. Abramov, Tatyana V. Tulupyeva

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции

7 Цитирования (Scopus)

Аннотация

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.

Язык оригинала	английский
Название основной публикации	Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
Редакторы	S. Shaposhnikov
Издатель	Institute of Electrical and Electronics Engineers Inc.
Страницы	93-95
Число страниц	3
ISBN (электронное издание)	9781538618103
DOI	https://doi.org/10.1109/SCM.2017.7970505
Состояние	Опубликовано - 6 июл 2017
Событие	20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 - St. Petersburg, Российская Федерация Продолжительность: 24 мая 2017 → 26 мая 2017

конференция

конференция	20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
Страна	Российская Федерация
Город	St. Petersburg
Период	24/05/17 → 26/05/17

Предметные области Scopus

Теория управления и исследование операций
Теория оптимизации
Искусственный интеллект
Математика и теория расчета
Компьютерные сети и коммуникации
Прикладные компьютерные науки
Статистика, теория вероятности и теория неопределенности
Моделирование и симуляция

Ключевые слова

social engineering attacks
information security
user’s protect
information protect
text data analysis
user’s vulnerabilities profile
profile of psychological characteristics

Доступ к документу

10.1109/SCM.2017.7970505

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

Fingerprint Подробные сведения о темах исследования «Approaches to development of models for text analysis of information in social network profiles in order to evaluate user's vulnerabilities profile». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать

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. В S. Shaposhnikov (Ред.), Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 (стр. 93-95). [7970505] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCM.2017.7970505

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. редактор / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 93-95

@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",

}

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. в S Shaposhnikov (ред.), Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017., 7970505, Institute of Electrical and Electronics Engineers Inc., стр. 93-95, 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017, St. Petersburg, Российская Федерация, 24/05/17. https://doi.org/10.1109/SCM.2017.7970505

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. ред. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 93-95 7970505.

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции

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 -

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. В Shaposhnikov S, редактор, Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. Institute of Electrical and Electronics Engineers Inc. 2017. стр. 93-95. 7970505 https://doi.org/10.1109/SCM.2017.7970505