CARE: a platform for reliable Comparison and Analysis of Reverse-Engineering techniques

Sylvain Lamprier 1 Nicolas Baskiotis 1 Tewfik Ziadi 2 Lom Messan Hillah 2
1 MLIA - Machine Learning and Information Access
LIP6 - Laboratoire d'Informatique de Paris 6
2 MoVe - Modélisation et Vérification
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Reverse engineering of behavior models has received a lot of attention over the last few years. However, no standard benchmark exists for the comparison and analysis of published miners. Evaluation is usually performed on few case studies, which fails to demonstrate effectiveness in a broad context. This paper proposes a general, approach-independent, platform for the intensive evaluation of behavior miners. Its goals are essentially: provide a benchmark mechanism for reverse engineering; allow analysis of miners w.r.t. a class of programs and/or behaviors; help users in choosing the best suited approach for their objective.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01216087
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Submitted on : Thursday, October 15, 2015 - 3:24:13 PM
Last modification on : Thursday, March 21, 2019 - 2:30:35 PM

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Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom Messan Hillah. CARE: a platform for reliable Comparison and Analysis of Reverse-Engineering techniques. 18th IEEE International Conference on Engineering of Complex Computer Systems -- ICECCS, Jul 2013, Singapore, Singapore. pp.252-255, ⟨10.1109/ICECCS.2013.44⟩. ⟨hal-01216087⟩

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