Predictive Runtime Enforcement *

Srinivas Pinisetty 1 Viorel Preoteasa 1 Stavros Tripakis 2, 1 Thierry Jéron 3 Yliès Falcone 4 Hervé Marchand 3
3 SUMO - SUpervision of large MOdular and distributed systems
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
4 CORSE - Compiler Optimization and Run-time Systems
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : Runtime enforcement (RE) is a technique to ensure that the (un-trustworthy) output of a black-box system satisfies some desired properties. In RE, the output of the running system, modeled as a stream of events, is fed into an enforcement monitor. The monitor ensures that the stream complies with a certain property, by delaying or modifying events if necessary. This paper deals with predictive runtime enforcement, where the system is not entirely black-box, but we know something about its behavior. This a-priori knowledge about the system allows to output some events immediately , instead of delaying them until more events are observed, or even blocking them permanently. This in turn results in better enforcement policies. We also show that if we have no knowledge about the system, then the proposed enforcement mechanism reduces to a classical non-predictive RE framework. All our results are formalized and proved in the Isabelle theorem prover.
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Communication dans un congrès
SAC 2016 31st ACM Symposium on Applied Computing, Apr 2016, Pisa, Italy. ACM, pp.6, 2016, 〈http://www.acm.org/conferences/sac/sac2016/〉. 〈10.1145/2851613.2851827〉
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Srinivas Pinisetty, Viorel Preoteasa, Stavros Tripakis, Thierry Jéron, Yliès Falcone, et al.. Predictive Runtime Enforcement *. SAC 2016 31st ACM Symposium on Applied Computing, Apr 2016, Pisa, Italy. ACM, pp.6, 2016, 〈http://www.acm.org/conferences/sac/sac2016/〉. 〈10.1145/2851613.2851827〉. 〈hal-01244369〉

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