- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
USING TRANSFER LEARNING FOR MALWARE CLASSIFICATION ; volume:XLIV-4/W3-2020 ; year:2020 ; pages:343-349
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIV-4/W3-2020 (2020), 343-349
- Creator
-
Prima, B.
Bouhorma, M.
- DOI
-
10.5194/isprs-archives-XLIV-4-W3-2020-343-2020
- URN
-
urn:nbn:de:101:1-2020112604283109714267
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:38 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
- Prima, B.
- Bouhorma, M.
Other Objects (12)
Learning and Classification of Malware Behavior
Classification of metamorphic malware using value set analysis
Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
Malware Detection on Server using Distributed Machine Learning
Automatic Analysis of Malware Behavior using Machine Learning
Machine learning under malware attack
Malware Analysis: Machine Learning Approaches
Malware family classification via efficient Huffman features
Data augmentation and transfer learning to classify malware images in a deep learning context
Classification and online clustering of zero-day malware
Learning metamorphic malware signatures from samples
Classification, Characterization, and Contextualization of Windows Malware using Static Behavior and Similarity Analysis
Learning and Classification of Malware Behavior
Classification of metamorphic malware using value set analysis
Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
Malware Detection on Server using Distributed Machine Learning
Automatic Analysis of Malware Behavior using Machine Learning
Machine learning under malware attack
Malware Analysis: Machine Learning Approaches
Malware family classification via efficient Huffman features
Data augmentation and transfer learning to classify malware images in a deep learning context
Classification and online clustering of zero-day malware
Learning metamorphic malware signatures from samples
Classification, Characterization, and Contextualization of Windows Malware using Static Behavior and Similarity Analysis
Learning and Classification of Malware Behavior
Classification of metamorphic malware using value set analysis
Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
Malware Detection on Server using Distributed Machine Learning
Automatic Analysis of Malware Behavior using Machine Learning
Machine learning under malware attack
Malware Analysis: Machine Learning Approaches
Malware family classification via efficient Huffman features
Data augmentation and transfer learning to classify malware images in a deep learning context
Classification and online clustering of zero-day malware
Learning metamorphic malware signatures from samples