A Novel Approach for Android Malware Detection and Classification using Convolutional Neural Networks.
Ahmed LekssaysBouchaib FalahSameer AbufardehPublished in: ICSOFT (2020)
Keyphrases
- malware detection
- convolutional neural networks
- anomaly detection
- classification accuracy
- malicious executables
- classification method
- decision trees
- pattern recognition
- feature space
- machine learning
- support vector machine svm
- text classification
- feature extraction
- supervised learning
- support vector machine
- support vector
- application programming interface
- data mining
- semi supervised
- unsupervised learning
- pairwise
- operating system
- training set
- training data