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Malware Analysis with Tree Automata Inference

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Bibtex:
@article{babic11malicious,
  author = {Domagoj Babi\'c and Daniel Reynaud and Dawn Song},
  title = {{Recognizing Malicious Software Behaviors with Tree Automata Inference}},
  journal = {Formal Methods in System Design},
  volume = {41},
  number = {1},
  publisher = {Springer},
  pages = {107--128},
  year = {2012},
}

Abstract: We explore how formal methods and tools of the verification trade could be used for malware detection and analysis. In particular, we propose a new approach to learning and generalizing from observed malware behaviors based on tree automata inference. Our approach infers k-testable tree automata from system call dataflow dependency graphs. We show how inferred automata can be used for malware recognition and classification.

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