Detection of Unknown Polymorphic Patterns Using Feature-Extracting Part of a Convolutional Autoencoder
Background: The present paper proposes a novel approach for detecting the presence of unknown polymorphic patterns in random symbol sequences that also comprise already known polymorphic patterns. Methods: We propose to represent rules that define the considered patterns as regular expressions and s...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/19/10842 |