- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1615-5270
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
MAPAS: a practical deep learning-based android malware detection system ; day:9 ; month:2 ; year:2022 ; pages:1-14
International journal of information security ; (9.2.2022), 1-14
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10207-022-00579-6
- URN
-
urn:nbn:de:101:1-2022051518533296634932
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kim, Jinsung
- Ban, Younghoon
- Ko, Eunbyeol
- Cho, Haehyun
- Yi, Jeong Hyun
- SpringerLink (Online service)
Other Objects (12)
Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles
Android Malware on the Rise
A Malware Detection System For Android
AndroDex: Android Dex Images of Obfuscated Malware
Computational intelligence anti-malware framework for android OS
FSSDroid: Feature subset selection for Android malware detection
Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
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
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
Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles
Android Malware on the Rise
A Malware Detection System For Android
AndroDex: Android Dex Images of Obfuscated Malware
Computational intelligence anti-malware framework for android OS
FSSDroid: Feature subset selection for Android malware detection
Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
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
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
Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles
Android Malware on the Rise
A Malware Detection System For Android
AndroDex: Android Dex Images of Obfuscated Malware
Computational intelligence anti-malware framework for android OS
FSSDroid: Feature subset selection for Android malware detection
Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
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
Securing the android app ecosystem : obfuscation, tamperproofing, and malware detection = Absicherung des Android App Ökosystems