Explore
High Accuracy Detection of Mobile Malware Using Machine Learning
0 Ungluers have
Faved this Work
Login to Fave
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 generating adversarial samples through byte sequence feature extraction using deep learning; a state-of-the-art comparative evaluation of deep learning approaches for mobile botnet detection; a novel visualization-based approach that utilizes images for Android botnet detection; a study on the detection of drive-by exploits in images using deep learning; etc. Furthermore, this reprint presents state-of-the-art reviews about machine learning-based detection techniques that will increase researchers' knowledge in the field and enable them to identify future research and development directions.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 21 times via unglue.it ebook links.
- 21 - pdf (CC BY) at Unglue.it.
Keywords
- adversarial sample
- 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
- Economics, finance, business & management
- email phishing
- ensemble classification
- gated recurrent unit
- histogram of oriented gradients
- hybrid analysis
- Image processing
- Industry & industrial studies
- Information technology industries
- long short-term memory
- Machine learning
- machine learning (ML)
- Malware
- malware analysis and detection
- Malware detection
- Media, information & communication industries
- 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
Links
DOI: 10.3390/books978-3-0365-7174-4Editions