Using N-Gram Variations in Static Analysis for Malware Detection.
Marco RadovancoviciDarius GalisCiprian PungilaPublished in: SYNASC (2022)
Keyphrases
- n gram
- static analysis
- malware detection
- api calls
- dynamic analysis
- source code
- malicious executables
- language model
- text classification
- anomaly detection
- anti virus
- variable length
- language modeling
- application programming interface
- java card
- web documents
- machine learning
- word segmentation
- regular expressions
- matching algorithm
- open source
- test suite
- artificial intelligence
- databases
- statistical language modeling