Behavior-based detection and classification of malicious software utilizing structural characteristics of group sequence graphs.
Stavros D. NikolopoulosIosif PolenakisPublished in: J. Comput. Virol. Hacking Tech. (2022)
Keyphrases
- classification accuracy
- classification method
- support vector
- object detection
- support vector machine
- automatic classification
- machine learning
- text classification
- supervised learning
- pattern recognition
- sequence classification
- false alarms
- software development
- automatic detection
- mammogram images
- classification algorithm
- robust detection
- digital mammograms
- pattern classification
- microcalcification clusters
- feature selection
- decision trees
- preprocessing
- support vector machine svm
- software engineering
- neural network
- object recognition
- static analysis
- classification scheme
- feature space
- feature set
- image classification
- breast cancer
- software architecture
- computer systems
- model selection
- software systems
- detection method