High Accuracy Detection of Mobile Malware Using Machine Learning

As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of gene...

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Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Information technology industries adversarial sample android botnets Android botnets Android security applied machine learning botnet detection business email compromise (BEC) CNN-GRU CNN-LSTM code vulnerability connection weights convolutional neural network convolutional neural networks deep learning dense neural networks digital forensic dynamic analysis email phishing ensemble classification gated recurrent unit Histogram of Oriented Gradients hybrid analysis image processing long short-term memory machine learning machine learning (ML) malware malware analysis and detection malware detection mobile security Monte-Carlo simulation multilayer perceptron n/a neural network neural networks optimization phishing detection polyglots recurrent neural networks reinforcement learning salp swarm algorithm security static analysis steganalysis steganography systematic literature review
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

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Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

High Accuracy Detection of Mobile Malware Using Machine Learning

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