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Computer Science

Analysis of ResNet and GoogleNet models for malware detection

R. Khan, Xiaosong Zhang, R. Kumar

2018.8.28Journal of Computer Virology and Hacking Techniques

DOI: 10.1007/s11416-018-0324-z

tlooto Summary

Two distinct models are utilized to identify the obscure or new sort of malware in this paper and they got a testing accuracy of 74.5% on GoogleNet and 88.36% precision on ResNet.

Abstract

Abstract is not available.

Citation format

KHAN, R.; ZHANG, Xiaosong; KUMAR, R. Analysis of resnet and googlenet models for malware detection. Journal of Computer Virology and Hacking Techniques, 2018, 15: 29–37.