Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
The paper considers methods of identification of executable signatures using statistical criteria. Identification here should be understood as a process of file recognition by establishing its coincidence with a particular program. New ways to creation of executable file signatures are considered. A new approach to identification of elf-files based on the Chi-square and Kolmogorov-Smirnov criteria is offered. Restrictions and conditions of using these criteria are considered. The proposed method can be used to audit data-storage medium.
Original language | English |
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Title of host publication | Proceedings of the 20th Conference of Open Innovations Association, FRUCT 2017 |
Editors | Alla Levina, Sergey Balandin, Tatiana Tyutina |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 202-208 |
Number of pages | 7 |
ISBN (Electronic) | 9789526865300 |
DOIs | |
State | Published - 18 Oct 2017 |
Event | 20th Conference of Open Innovations Association, FRUCT 2017 - Saint Petersburg, Russian Federation Duration: 2 Apr 2017 → 6 Apr 2017 |
Name | Conference of Open Innovation Association, FRUCT |
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Volume | 2017-April |
ISSN (Print) | 2305-7254 |
Conference | 20th Conference of Open Innovations Association, FRUCT 2017 |
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Country/Territory | Russian Federation |
City | Saint Petersburg |
Period | 2/04/17 → 6/04/17 |
ID: 53919235