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
Multinomial malware classification via low-level features [PDF]
, 2018 Because malicious software or (”malware”) is so frequently used in a cyber crimes, malware detection and relevant research became a serious issue in the information security landscape.
Dyrkolbotn, Geir Olav, Banin, Sergii
core
FedDroidMeter: A Privacy Risk Evaluator for FL-Based Android Malware Classification Systems. [PDF]
Entropy (Basel), 2023 Jiang C, Xia C, Liu Z, Wang T.
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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
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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.
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Wavelet-Based and MAML-Driven Framework for Enhanced Few-Shot Malware Classification
Applied SciencesTraditional malware classification approaches primarily address fixed sets of well-studied malware types and therefore struggle to accommodate the continual emergence of novel or previously unseen malware strains.
Abdullah Almuqrin +2 more
doaj +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
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Convolution neural network with batch normalization and inception-residual modules for Android malware classification. [PDF]
Sci Rep, 2022 Liu T, Zhang H, Long H, Shi J, Yao Y.
europepmc +1 more source
Digital Forensics for Malware Classification: An Approach for Binary Code to Pixel Vector Transition. [PDF]
Comput Intell Neurosci, 2022 Naeem MR +3 more
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Dual Convolutional Malware Network (DCMN): An Image-Based Malware Classification Using Dual Convolutional Neural Networks [PDF]
Malware attacks have a cascading effect, causing financial harm, compromising privacy, operations and interrupting. By preventing these attacks, individuals and organizations can safeguard the valuable assets of their operations, and gain more trust.
Nader Bakir +3 more
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