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dc.contributor.authorBeterke, Fabian
dc.contributor.editorMeier, Michael
dc.contributor.editorReinhardt, Delphine
dc.contributor.editorWendzel, Steffen
dc.date.accessioned2017-06-21T07:43:30Z
dc.date.available2017-06-21T07:43:30Z
dc.date.issued2016
dc.identifier.isbn978-3-88579-650-3
dc.identifier.issn1617-5468
dc.description.abstractThis paper describes the design of a tool (called Evofuzz) that implements the technique of evolutionary (or coverage-guided) fuzzing in a scalable, distributed manner. The architecture, design-choices and implementation specifics of this tool are examined, explained and criticized. After outlining possible improvements and future work that is not yet completed, the paper finishes by presenting the results from fuzzing real-world programs and explains how to recreate them using the provided tool.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSicherheit 2016 - Sicherheit, Schutz und Zuverlässigkeit
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-256
dc.titleDistributed evolutionary fuzzing with evofuzzen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages23-32
mci.conference.locationBonn
mci.conference.date5.-7. April 2016


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