Thwe, Y.M. and Ogawa, M. and Dung, P.N. (2019) Applying Clustering Techniques for Refining Large Data Set: Case Study on Malware. In: 2019 International Conference on Advanced Information Technologies, ICAIT 2019, 6 November 2019 through 7 November 2019.
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Malware databases have been unintentionally collecting garbage (incomplete malware) together with malware through the Internet. This paper focuses on finding garbage (incomplete malware) from large malware datasets using binary pattern matching and speed up the matching by using nested clustering as a preprocessing. To verify the effectiveness of our method, we conduct experiments on various malware datasets. The results show that our method works efficiently while maintaining high accuracy. © 2019 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/AITC.2019.8921088 |
| Uncontrolled Keywords: | Large dataset; Pattern matching; Binary patterns; Clustering techniques; High-accuracy; Large datasets; nested clustering; Speed up; Malware |
| Additional Information: | Conference code: 155865. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/9225 |
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