Cooperative Android App Analysis with CoDiDroid
| dc.contributor.author | Pauck, Felix | |
| dc.contributor.author | Wehrheim, Heike | |
| dc.contributor.editor | Koziolek, Anne | |
| dc.contributor.editor | Schaefer, Ina | |
| dc.contributor.editor | Seidl, Christoph | |
| dc.date.accessioned | 2020-12-17T11:57:56Z | |
| dc.date.available | 2020-12-17T11:57:56Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Novel Android app analysis tools as well as improved versions of available tools are frequently proposed. These proposed tools often tackle a specific single issue that cannot be handled with existing tools. Consequently, the best analysis possible should use the advantages of each and every tool. With CoDiDroid we present an analysis framework that allows to combine analysis tools such that the best out of each tool is used for a more comprehensive and more precise cooperative analysis. Our experimental results show indeed that CoDiDroid allows to setup cooperative analyses which are beneficial with respect to effectiveness, accuracy and scalability. | en |
| dc.identifier.doi | 10.18420/SE2021_30 | |
| dc.identifier.isbn | 978-3-88579-704-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/34526 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Software Engineering 2021 | |
| dc.relation.ispartofseries | ecture Notes in Informatics (LNI) - Proceedings, Volume P-310 | |
| dc.subject | Android Taint Analysis | |
| dc.subject | Tools | |
| dc.subject | Cooperation | |
| dc.subject | Precision | |
| dc.title | Cooperative Android App Analysis with CoDiDroid | en |
| dc.type | Text/ConferencePaper | |
| gi.citation.endPage | 84 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 83 | |
| gi.conference.date | 22.-26. Februar 2021 | |
| gi.conference.location | Braunschweig/Virtuell |
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