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48,240 Malware samples and Binary Visualisation Images for Machine Learning Anomaly Detection
- Citation Author(s):
-
BettySaridou
Democritus University of ThraceJosephRoseThe University of PortsmouthStavrosShiaelesThe University of PortsmouthBasilPapadopoulosDemocritus University of Thrace - Submitted by:
- Joseph Rose
- Last updated:
- Wed, 06/02/2021 - 19:00
- DOI:
- 10.21227/vs0r-8s26
- Data Format:
- License:
5158 Views- Categories:
- Keywords:
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Abstract
Dataset including over 40,000 generated images of malicious binaries for malware classification in machine learning as outlined in NARAD - A Novel Auto-learn Real-time Fuzzy Machine Learning Anomaly Detection and Classification System.
Instructions:
Images used for classification of malware using fuzzy logic in binary visulisaiton.
Dataset Files
- Malicious Dataset Files Datasets_Download.zip (527 bytes)
Comments
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33
Apologies. We had an issue uploading the datasets on IEEE due to the large file sizes. Now you should be able to download them.
Hi Authors,
Could you explain what is the difference between Malware files and Malicious files? Do you have any elaborated description the dataset?
Thanks
Can I have access?
Please could I have access.
can i have free access ? bruzzese.953247@studenti.uniroma1.it
Please, provide the 40,000 generated images of malicious binaries for malware dataset
Please, provide the 40,000 generated images of malicious binaries for malware dataset