DOI

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.

Original languageEnglish
Title of host publicationProceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
EditorsS. Shaposhnikov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages93-95
Number of pages3
ISBN (Electronic)9781538618103
DOIs
StatePublished - 6 Jul 2017
Event20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 - St. Petersburg, Russian Federation
Duration: 24 May 201726 May 2017

Conference

Conference20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
Country/TerritoryRussian Federation
CitySt. Petersburg
Period24/05/1726/05/17

    Scopus subject areas

  • Management Science and Operations Research
  • Control and Optimization
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Modelling and Simulation

    Research areas

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

ID: 36752461