Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning.
Sebastian BanescuChristian S. CollbergAlexander PretschnerPublished in: USENIX Security Symposium (2017)
Keyphrases
- symbolic execution
- static analysis
- malicious code
- machine learning
- source code
- test generation
- test data generation
- specification language
- learning algorithm
- spam filters
- data flow
- database
- regular expressions
- data sets
- reverse engineering
- evolutionary algorithm
- particle swarm optimization
- open source
- case study
- artificial intelligence
- databases