Generating Synthetic Malware Samples Using Generative AI
IEEE AccessMalware attacks have a significant negative impact on organizations of varied scales in the field of cybersecurity. Recently, malware researchers have increasingly turned to machine learning techniques to combat sophisticated obfuscation methods used in ...
Tiffany Bao +4 more
doaj +1 more source
A Review on Autonomous AI-based robust model of malware detection and classification for 2d images [PDF]
, 2023 Tharusha Lakshan, Venoli Shehara Gamage
openalex +1 more source
Image Representation and Deep Inception-Attention for File-type and Malware Classification [PDF]
, 2023 Yi Wang +4 more
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Quantum Machine Learning for Malware Classification
In a context of malicious software detection, machine learning (ML) is widely used to generalize to new malware. However, it has been demonstrated that ML models can be fooled or may have generalization problems on malware that has never been seen. We investigate the possible benefits of quantum algorithms for classification tasks.
Barrué, Grégoire, Quertier, Tony
openaire +2 more sources
An ensemble approach for imbalanced multiclass malware classification using 1D-CNN. [PDF]
PeerJ Comput Sci, 2023 Panda B, Bisoyi SS, Panigrahy S.
europepmc +1 more source
Android Malware Classification Using Deep Learning CNN with Co-occurrence Matrix Feature [PDF]
, 2021 Le Duc Thuan +2 more
openalex +1 more source
FedDroidMeter: A Privacy Risk Evaluator for FL-Based Android Malware Classification Systems. [PDF]
Entropy (Basel), 2023 Jiang C, Xia C, Liu Z, Wang T.
europepmc +1 more source
TRConv: Multi-Platform Malware Classification via Target Regulated Convolutions
IEEE AccessMalware is an important threat to digital workflow. Traditional malware modeling approaches focused on using hand-crafted features while recent approaches proved the necessity of using learning based methodologies.
Alper Egitmen +2 more
doaj +1 more source
MalFuzz: Coverage-guided fuzzing on deep learning-based malware classification model. [PDF]
PLoS One, 2022 Liu Y, Yang P, Jia P, He Z, Luo H.
europepmc +1 more source
AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems. [PDF]
Sci Rep, 2022 Rafiq H +4 more
europepmc +1 more source