Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity
Abstract In the realm of cybersecurity, the detection and analysis of obfuscated malware remain a critical challenge, especially in the context of memory dumps. This research paper presents a novel machine learning-based framework designed to enhance the detection and analytical capabilities against...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-01-01
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Series: | Cybersecurity |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42400-024-00205-z |