High Accuracy Detection of Mobile Malware Using Machine Learning

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...

Full description

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

Similar Items

Similar Items