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Learning Register Automata with Fresh Value Generation

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Theoretical Aspects of Computing - ICTAC 2015 (ICTAC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9399))

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Abstract

We present a new algorithm for active learning of register automata. Our algorithm uses counterexample-guided abstraction refinement to automatically construct a component which maps (in a history dependent manner) the large set of actions of an implementation into a small set of actions that can be handled by a Mealy machine learner. The class of register automata that is handled by our algorithm extends previous definitions since it allows for the generation of fresh output values. This feature is crucial in many real-world systems (e.g. servers that generate identifiers, passwords or sequence numbers). We have implemented our new algorithm in a tool called Tomte.

The second author is supported by NWO project 612.001.216: Active Learning of Security Protocols (ALSEP). The remaining authors are supported by STW project 11763: Integrating Testing And Learning of Interface Automata (ITALIA). Some results from this paper appeared previously in the PhD thesis of the first author [1].

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References

  1. Aarts, F.: Tomte: bridging the gap between active learning and real-world systems. Ph.D. thesis, Radboud University Nijmegen, October 2014

    Google Scholar 

  2. Aarts, F., Heidarian, F., Kuppens, H., Olsen, P., Vaandrager, F.: Automata learning through counterexample guided abstraction refinement. In: Giannakopoulou, D., Méry, D. (eds.) FM 2012. LNCS, vol. 7436, pp. 10–27. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Aarts, F., Howar, F., Kuppens, H., Vaandrager, F.: Algorithms for inferring register automata. In: Margaria, T., Steffen, B. (eds.) ISoLA 2014, Part I. LNCS, vol. 8802, pp. 202–219. Springer, Heidelberg (2014)

    Google Scholar 

  4. Aarts, F., Jonsson, B., Uijen, J., Vaandrager, F.W.: Generating models of infinite-state communication protocols using regular inference with abstraction. FMSD 46(1), 1–41 (2015)

    MATH  Google Scholar 

  5. Aarts, F., de Ruiter, J., Poll, E.: Formal models of bank cards for free. In: Software Testing Verification and Validation Workshop, pp. 461–468. IEEE (2013)

    Google Scholar 

  6. Angluin, D.: Learning regular sets from queries and counterexamples. Inf. Comput. 75(2), 87–106 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  7. Bollig, B., Katoen, J.-P., Kern, C., Leucker, M., Neider, D., Piegdon, D.R.: Libalf: the automata learning framework. In: Touili, T., Cook, B., Jackson, P. (eds.) CAV 2010. LNCS, vol. 6174, pp. 360–364. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  8. Cassel, S., Howar, F., Jonsson, B., Merten, M., Steffen, B.: A succinct canonical register automaton model. In: Bultan, T., Hsiung, P.-A. (eds.) ATVA 2011. LNCS, vol. 6996, pp. 366–380. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  9. Cassel, S., Howar, F., Jonsson, B., Merten, M., Steffen, B.: A succinct canonical register automaton model. J. Logic Algebraic Methods Program. 84(1), 54–66 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  10. Cassel, S., Howar, F., Jonsson, B., Steffen, B.: Learning extended finite state machines. In: Giannakopoulou, D., Salaün, G. (eds.) SEFM 2014. LNCS, vol. 8702, pp. 250–264. Springer, Heidelberg (2014)

    Google Scholar 

  11. Chalupar, G., Peherstorfer, S., Poll, E., de Ruiter, J.: Automated reverse engineering using Lego. In: WOOT 2014, IEEE Computer Society, August 2014

    Google Scholar 

  12. Cho, C., Babic, D., Shin, E., Song, D.: Inference and analysis of formal models of botnet command and control protocols. In: CCS, pp. 426–439. ACM (2010)

    Google Scholar 

  13. Clarke, E.M., Grumberg, O., Peled, D.: Model Checking. MIT Press, Cambridge (1999)

    Google Scholar 

  14. Fiterau-Brostean, P., Janssen, R., Vaandrager, F.: Learning fragments of the TCP network protocol. In: Lang, F., Flammini, F. (eds.) FMICS 2014. LNCS, vol. 8718, pp. 78–93. Springer, Heidelberg (2014)

    Google Scholar 

  15. Koopman, P., Achten, P., Plasmeijer, R.: Model-based shrinking for state-based testing. In: McCarthy, J. (ed.) TFP 2013. LNCS, vol. 8322, pp. 107–124. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  16. Bryant, R.E.: A view from the engine room: computational support for symbolic model checking. In: Grumberg, O., Veith, H. (eds.) 25 years of Model Checking. LNCS, vol. 5000, pp. 145–149. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  17. de la Higuera, C.: Grammatical Inference: Learning Automata and Grammars. Cambridge University Press, Cambridge (2010)

    Book  MATH  Google Scholar 

  18. Howar, F., Steffen, B., Jonsson, B., Cassel, S.: Inferring canonical register automata. In: Kuncak, V., Rybalchenko, A. (eds.) VMCAI 2012. LNCS, vol. 7148, pp. 251–266. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  19. Howar, F., Isberner, M., Steffen, B., Bauer, O., Jonsson, B.: Inferring semantic interfaces of data structures. In: Margaria, T., Steffen, B. (eds.) ISoLA 2012, Part I. LNCS, vol. 7609, pp. 554–571. Springer, Heidelberg (2012)

    Google Scholar 

  20. Isberner, M., Howar, F., Steffen, B.: Learning register automata: from languages to program structures. Mach. Learn. 96(1–2), 65–98 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  21. Merten, M., Steffen, B., Howar, F., Margaria, T.: Next Generation LearnLib. In: Abdulla, P.A., Leino, K.R.M. (eds.) TACAS 2011. LNCS, vol. 6605, pp. 220–223. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  22. Peled, D., Vardi, M.Y., Yannakakis, M.: Black box checking. In: FORTE, IFIP Conference Proceedings, vol. 156, pp. 225–240. Kluwer (1999)

    Google Scholar 

  23. Raffelt, H., Merten, M., Steffen, B., Margaria, T.: Dynamic testing via automata learning. STTT 11(4), 307–324 (2009)

    Article  Google Scholar 

  24. Raffelt, H., Steffen, B., Berg, T., Margaria, T.: LearnLib: a framework for extrapolating behavioral models. STTT 11(5), 393–407 (2009)

    Article  Google Scholar 

  25. Steffen, B., Howar, F., Merten, M.: Introduction to active automata learning from a practical perspective. In: Bernardo, M., Issarny, V. (eds.) SFM 2011. LNCS, vol. 6659, pp. 256–296. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  26. Tijssen, M.: Automatic modeling of SSH implementations with state machine learning algorithms. Bachelor thesis, Radboud University, Nijmegen, June 2014

    Google Scholar 

  27. Volpato, M., Tretmans, J.: Active learning of nondeterministic systems from an ioco perspective. In: Margaria, T., Steffen, B. (eds.) ISoLA 2014, Part I. LNCS, vol. 8802, pp. 220–235. Springer, Heidelberg (2014)

    Google Scholar 

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Authors and Affiliations

  1. Institute for Computing and Information Sciences, Radboud University Nijmegen, P.O. Box 9010, 6500 GL, Nijmegen, The Netherlands

    Fides Aarts, Paul Fiterau-Brostean, Harco Kuppens & Frits Vaandrager

Authors
  1. Fides Aarts
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  2. Paul Fiterau-Brostean
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  3. Harco Kuppens
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  4. Frits Vaandrager
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Correspondence to Frits Vaandrager .

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Editors and Affiliations

  1. University of Lübeck, Lübeck, Schleswig-Holstein, Germany

    Martin Leucker

  2. Pontificia Universidad Javeriana-Cali, Cali, Colombia

    Camilo Rueda

  3. Pontificia Universidad Javeriana-Cali, CNRS LIX École Polytechnique de Paris, Palaiseau Cedex, France

    Frank D. Valencia

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Aarts, F., Fiterau-Brostean, P., Kuppens, H., Vaandrager, F. (2015). Learning Register Automata with Fresh Value Generation. In: Leucker, M., Rueda, C., Valencia, F. (eds) Theoretical Aspects of Computing - ICTAC 2015. ICTAC 2015. Lecture Notes in Computer Science(), vol 9399. Springer, Cham. https://doi.org/10.1007/978-3-319-25150-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-25150-9_11

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