Malicious software identification based on deep learning algorithms and API feature extraction

Malicious software identification based on deep learning algorithms and API feature extraction

Abstract With the popularization of mobile Internet, the Android operating system has become the main target of malware attacks because of its openness. Traditional malware detection methods face challenges in handling complex feature representations, especially in utilizing the semantic information...

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Bibliographic Details
Main Author: Wei Sun
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:EURASIP Journal on Information Security
Subjects:
Malicious software detection
Deep learning algorithms
Application programming interface
Feature extraction techniques
Relational Graph Convolutional Network
Online Access:https://doi.org/10.1186/s13635-025-00197-4
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https://doi.org/10.1186/s13635-025-00197-4

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