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dc.contributor.authorBorcherding, Anne-
dc.contributor.authorMorawetz, Martin-
dc.contributor.authorPfrang, Steffen-
dc.date.accessioned2023-09-11T12:56:28Z-
dc.date.available2023-09-11T12:56:28Z-
dc.date.issued2023-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/345-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/285-
dc.description.abstractData collected during the evaluation of the paper "Smarter Evolution: Enhancing Evolutionary Black Box Fuzzing with Adaptive Models". In our publication, we presented an approach to bridge the gap between existing gray box fuzzing strategies and the real-world black box setting of fuzzing industrial control systems. This repository contains the data that was generated during our evaluation and was used to generate the corresponding figures in our paper. The Jupyter Notebook that we used to generate the figures based on this dataset can be found on GitHub: https://github.com/anneborcherding/Smarter-Evolutionen
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.titleSmarter Evolution: Enhancing Evolutionary Black Box Fuzzing with Adaptive Modelsen
dc.typeTextual Dataen
fordatis.instituteIOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertungen
fordatis.rawdatafalseen
Enthalten in den Sammlungen:Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB

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