A SVM-based Software Homology Detection Method

DOI

10.2991/icca-16.2016.46How to use a DOI?

Keywords

Software homology detection, SVM, software technology

Abstract

With the development of software technology, software is becoming increasingly essential in our daily lives. However, there are more and more sorts of pirated software. Therefore, we need to figure out an effective method to prevent plagiarism, protect intellectual property and so on. Software homology detection can be used as protection of software intellectual property, malware defense, and can chase an important means of accountability and evidence. We did some experiments to evaluate the performance of our method .And the results showed that the proposed method can achieve satisfactory outcome.

Copyright

© 2016, 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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TY  - CONF
AU  - Bang Sun
AU  - Xiaoming Liu
AU  - Dian Lei
AU  - Qi Li
PY  - 2016/01
DA  - 2016/01
TI  - A SVM-based Software Homology Detection Method
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 201
EP  - 204
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.46
DO  - 10.2991/icca-16.2016.46
ID  - Sun2016/01
ER  -