Obfuscation Code Technics Based on Neural Networks Mechanism

This paper presents the obfuscation code technique based on the two machine learning models. The models are based on the recurrently trained neural networks, represented as tensors and integrated into the application binaries.

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Bibliographic Details
Published in2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) pp. 1 - 6
Main Authors Mukhin, Vadym, Kornaga, Yaroslav, Bazaliy, Maxim, Zavgorodnii, Valerii, Krysak, Ivan, Mukhin, Oleg
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.10.2020
Subjects
code generation
Complexity theory
learning
Machine learning
Neural networks
obfuscation
Tensors
Testing
Online AccessGet full text
DOI10.1109/SAIC51296.2020.9239247

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Summary:This paper presents the obfuscation code technique based on the two machine learning models. The models are based on the recurrently trained neural networks, represented as tensors and integrated into the application binaries.
DOI:10.1109/SAIC51296.2020.9239247