Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification.
Rajasekhar ChagantiVinayakumar RaviTuan D. PhamPublished in: J. Inf. Secur. Appl. (2022)
Keyphrases
- convolutional neural networks
- classification accuracy
- support vector machine svm
- malware detection
- classification systems
- pattern recognition
- reverse engineering
- text classification
- machine learning
- automatic classification
- image classification
- feature representation
- decision trees
- robust classification
- classification scheme
- classification process
- pattern classification
- class labels
- classification algorithm
- support vector
- decision rules
- convolutional network
- malicious code
- feature space
- support vector machine
- image representation
- classification method
- cost sensitive
- facial images
- model selection
- facial expressions
- training samples
- training set
- machine learning methods
- web pages
- benchmark datasets
- learning algorithm
- data sets