• Kseniya Salakhutdinova
  • Ilya Lebedev
  • Irina Krivtsova
  • Nurzhan Bazhayev
  • Mikhail Sukhoparov
  • Pavel Smimov
  • Dmitry Markelov
  • Alexander Davvdov
  • Sergey Pecherkin
  • Dmitry Kolcherin
  • Yuriy Shaparenko
  • Yuriy Iskanderov

The paper presents methods of executable file signature creation based on frequency distributions of their informative features to be applied for program identification. Identification here should be understood as a process of file recognition by establishing its coincidence with a particular program. A new approach to creation of the archive of program signatures, both in terms of byte-frequency distribution of a program's binary code, and in terms of frequency distribution of assembler commands in their disassembler codes, is presented. The new method of executable file identification is offered and the results of experiments on their identification using a statistical criterion of ∗-Fisher and analysis of the slope are provided. The proposed method can be used to audit data-storage medium.

Original languageEnglish
Title of host publication11th IEEE International Conference on Application of Information and Communication Technologies, AICT 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538605011
DOIs
StatePublished - 10 Apr 2019
Event11th IEEE International Conference on Application of Information and Communication Technologies, AICT 2017 - Moscow, Russian Federation
Duration: 20 Sep 201722 Sep 2017

Publication series

Name11th IEEE International Conference on Application of Information and Communication Technologies, AICT 2017 - Proceedings

Conference

Conference11th IEEE International Conference on Application of Information and Communication Technologies, AICT 2017
Country/TerritoryRussian Federation
CityMoscow
Period20/09/1722/09/17

    Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

    Research areas

  • byte-frequence response, Information security

ID: 53918835