Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

Support Vector Machine Based on Incremental Learning for Malware Detection

Authors
Weiwei Zhuang, Lei Xiao, Jianfeng Cui, WeiChuan Zhuang
Corresponding Author
Weiwei Zhuang
Available Online July 2015.
DOI
https://doi.org/10.2991/csic-15.2015.49How to use a DOI?
Keywords
Support vector machine, Incremental learning, Malware detection
Abstract

The training of traditional SVM method requires the solution of quadratic programming, and consumes high memory and has low speed for large data training. Incremental learning is one of the meaningful methods to continuously update the data for learning, which keeps the previous learning results, re learning only for the additional data, so as to form a continuous learning process. This paper will study the support vector machine based on incremental learning method and its application in the malware detection. The experiments carried out in the Internet Security Laboratory at Kingsoft Corporation suggested that, for large number of virus samples, our method can rapidly and effectively update the sample features, which avoids duplication of learning history samples and ensures the malware prediction ability for the detection model.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-84-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/csic-15.2015.49How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Weiwei Zhuang
AU  - Lei Xiao
AU  - Jianfeng Cui
AU  - WeiChuan Zhuang
PY  - 2015/07
DA  - 2015/07
TI  - Support Vector Machine Based on Incremental Learning for Malware Detection
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 204
EP  - 207
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.49
DO  - https://doi.org/10.2991/csic-15.2015.49
ID  - Zhuang2015/07
ER  -