TaintBench: Automatic real-world malware benchmarking of Android taint analyses
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7616
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
TaintBench: Automatic real-world malware benchmarking of Android taint analyses ; volume:27 ; number:1 ; day:29 ; month:10 ; year:2021 ; pages:1-41 ; date:1.2022
Empirical software engineering ; 27, Heft 1 (29.10.2021), 1-41, 1.2022
- Urheber
-
Luo, Linghui
Pauck, Felix
Piskachev, Goran
Benz, Manuel
Pashchenko, Ivan
Mory, Martin
Bodden, Eric
Hermann, Ben
Massacci, Fabio
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10664-021-10013-5
- URN
-
urn:nbn:de:101:1-2022010817502042469268
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:22 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Luo, Linghui
- Pauck, Felix
- Piskachev, Goran
- Benz, Manuel
- Pashchenko, Ivan
- Mory, Martin
- Bodden, Eric
- Hermann, Ben
- Massacci, Fabio
- SpringerLink (Online service)
Ähnliche Objekte (12)
Android Malware on the Rise
A Malware Detection System For Android
Computational intelligence anti-malware framework for android OS
AndroDex: Android Dex Images of Obfuscated Malware
FSSDroid: Feature subset selection for Android malware detection
Malware-Resistant Protocols for Real-World Systems
Accurate and Reliable Labeling for Effective Detection of Android Malware
A federated approach to Android malware classification through Perm-Maps
Author Correction: AndroDex: Android Dex Images of Obfuscated Malware
MAPAS: a practical deep learning-based android malware detection system
Securing the android app ecosystem : obfuscation, tamperproofing, and malware detection = Absicherung des Android App Ökosystems
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection
Android Malware on the Rise
A Malware Detection System For Android
Computational intelligence anti-malware framework for android OS
AndroDex: Android Dex Images of Obfuscated Malware
FSSDroid: Feature subset selection for Android malware detection
Malware-Resistant Protocols for Real-World Systems
Accurate and Reliable Labeling for Effective Detection of Android Malware
A federated approach to Android malware classification through Perm-Maps
Author Correction: AndroDex: Android Dex Images of Obfuscated Malware
MAPAS: a practical deep learning-based android malware detection system
Securing the android app ecosystem : obfuscation, tamperproofing, and malware detection = Absicherung des Android App Ökosystems
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection
Android Malware on the Rise
A Malware Detection System For Android
Computational intelligence anti-malware framework for android OS
AndroDex: Android Dex Images of Obfuscated Malware
FSSDroid: Feature subset selection for Android malware detection
Malware-Resistant Protocols for Real-World Systems
Accurate and Reliable Labeling for Effective Detection of Android Malware
A federated approach to Android malware classification through Perm-Maps
Author Correction: AndroDex: Android Dex Images of Obfuscated Malware
MAPAS: a practical deep learning-based android malware detection system
Securing the android app ecosystem : obfuscation, tamperproofing, and malware detection = Absicherung des Android App Ökosystems