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DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Borcherding, Anne | - |
dc.contributor.author | Morawetz, Martin | - |
dc.contributor.author | Pfrang, Steffen | - |
dc.date.accessioned | 2023-09-11T12:56:28Z | - |
dc.date.available | 2023-09-11T12:56:28Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://fordatis.fraunhofer.de/handle/fordatis/345 | - |
dc.identifier.uri | http://dx.doi.org/10.24406/fordatis/285 | - |
dc.description.abstract | Data 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-Evolution | en |
dc.language.iso | en | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | en |
dc.title | Smarter Evolution: Enhancing Evolutionary Black Box Fuzzing with Adaptive Models | en |
dc.type | Textual Data | en |
fordatis.institute | IOSB Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung | en |
fordatis.rawdata | false | en |
Enthalten in den Sammlungen: | Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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Evaluation_VulnDuT.zip | 870,8 MB | ZIP | Öffnen/Download |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons