Content area

Abstract

Conference Title: 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)

Conference Start Date: 2025, Jan. 6

Conference End Date: 2025, Jan. 10

Conference Location: Bengaluru, India

The work is devoted to solving the problem of restoring the representation of the source code of a program (and in the future, algorithms, architecture, etc.) in the form of a binary code, which will allow searching for vulnerabilities in them more effectively. For this purpose, it is proposed to use reverse-engineering based on genetic algorithms. The concept of genetic reverse-engineering, consisting of a sequence of deevolutions of individual representations of the program, and created necessary model-algorithmic instrumentry, is described. The results of experiments on restoring the source code for a non-trivial mathematical expression by various methods and the obtained operating time are presented: by expert groups – 30, 15 and 3-5 minutes, by smart brute-force – 10 minutes, by a genetic de-evolution prototype (as a special case of full reverse-engineering) – 0.5 minutes.

Details

Title
The Concept of Genetic Reverse-Engineering to Restore the Program’s Source Code from a Binary Code: Theory and Applying Practice
Author
Izrailov, Konstantin 1 ; Kotenko, Igor 1 

 St. Petersburg Federal Research Center of the Russian Academy of Sciences,Computer Security Problems Laboratory,Saint-Petersburg,Russia 
Source details
2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)
Publication year
2025
Publication date
2025
Publisher
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Place of publication
Piscataway
Country of publication
United States
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
Publication history
 
 
Online publication date
2025-02-21
Publication history
 
 
   First posting date
21 Feb 2025
ProQuest document ID
3169241320
Document URL
https://www.proquest.com/conference-papers-proceedings/concept-genetic-reverse-engineering-restore/docview/3169241320/se-2?accountid=208611
Copyright
Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025
Last updated
2025-05-27
Database
ProQuest One Academic