Advanced Windows Methods on Malware Detection and Classification
Author:
Affiliation:
1. Institute for Infocomm Research, Singapore
2. Institute for Infocomm Research Research, Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3427228.3427242
Reference56 articles.
1. Using spatio-temporal information in API calls with machine learning algorithms for malware detection
2. Towards Understanding Malware Behaviour by the Extraction of API Calls
3. A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence
4. Multinomial malware classification via low-level features
5. Network malware classification comparison using DPI and flow packet headers
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