Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files.
Tzu-Ling WanTao BanShin-Ming ChengYen-Ting LeeBo SunRyoichi IsawaTakeshi TakahashiDaisuke InouePublished in: IEEE Open J. Comput. Soc. (2020)
Keyphrases
- pattern classification
- classification accuracy
- pattern recognition
- class labels
- feature selection
- automatic detection
- detection method
- classification method
- object detection
- automatic classification
- decision trees
- false alarms
- classification scheme
- machine learning
- feature extraction and classification
- image classification
- text classification
- database
- false positives
- robust detection
- classification models
- training samples
- supervised learning
- support vector machine
- feature space
- neural network
- detection algorithm
- support vector machine svm
- classification algorithm
- hidden markov models
- preprocessing
- support vector
- metadata
- physical world
- malware detection
- sequence classification
- databases