Deep Hashing for Malware Family Classification and New Malware Identification
Author:
Affiliation:
1. Engineering Research Center of Cyberspace, National Pilot School of Software, Yunnan University, Kunming, China
2. Information Systems Technology and Design, Singapore University of Technology and Design, Tampines, Singapore
Funder
National Natural Science Foundation of China
Applied Basic Research Foundation of Yunnan Province
Opening Foundation of Yunnan Key Laboratory of Smart City in Cyberspace Security
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6488907/10623554/10398530.pdf?arnumber=10398530
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1. Very deep convolutional networks for large-scale image recognition;Simonyan
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition
4. Malware images
5. Image visualization based malware detection
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