Search Results - Advances in Science, Technology and Engineering Systems Journal

Results (1)

Search Parameters:

Author/Affiliation: Rashmi Jha

Detecting Malicious Assembly using Convolutional, Recurrent Neural Networks

by Michael Santacroce, Daniel Koranek and Rashmi Jha

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 5, Page # 46–52, 2019; DOI: 10.25046/aj040506

Abstract:

We present findings on classifying the class of executable code using convolutional, re- current neural networks by creating images from only the .text section of executables and dividing them into standard-size windows, using minimal preprocessing. We achieve up to 98.24% testing accuracy on classifying 9 types of malware, and 99.50% testing accuracy on classifying malicious…