On Exploiting Static and Dynamic Features in Malware Classification
- Title
- On Exploiting Static and Dynamic Features in Malware Classification
- Author
- 김상욱
- Keywords
- Malware classification; Static analysis; Dynamic analysis; Feature extraction
- Issue Date
- 2016-11
- Publisher
- EAI
- Citation
- International Conference on Big Data Technologies and Applications 2016, Page. 122-129
- Abstract
- The number of malwares is exponentially growing these days. Malwares have similar signatures if they are developed by the same group of attackers or with similar purposes. This characteristic helps identify malwares from ordinary programs. In this paper, we address a new type of classification that identifies the group of attackers who are likely to develop a given malware. We identify various features obtained through static and dynamic analyses on malwares and exploit them in classification. We evaluate our approach through a series of experiments with a real-world dataset labeled by a group of domain experts. The results show our approach is effective and provides reasonable accuracy in malware classification.
- URI
- https://link.springer.com/chapter/10.1007/978-3-319-58967-1_14https://repository.hanyang.ac.kr/handle/20.500.11754/100675
- ISBN
- 978-3-319-58966-4; 978-3-319-58967-1
- DOI
- 10.1007/978-3-319-58967-1_14
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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