CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12636 > Article
Paper
25 May 2023 Research on malicious code classification based on texture feature and random forest
Yingchun Huang, Jiaqi Zhang
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263650 (2023) https://doi.org/10.1117/12.2675268
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
In order to identify and analyze malware efficiently and prevent possible harm in time, a static classification method based on image gray texture features is proposed. According to the instruction length characteristics of the code, multi byte image texture of virus code is designed and extracted, and unified into two-dimensional features. Then all feature files are used as training sets for random forest machine learning method classification. The experiment using standard data sets shows that the method can achieve 96.36% accuracy.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yingchun Huang and Jiaqi Zhang "Research on malicious code classification based on texture feature and random forest", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263650 (25 May 2023); https://doi.org/10.1117/12.2675268
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 4 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Random forests
Image classification
Machine learning
Decision trees
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top