Robust Malware Detection using Residual Attention Network
preprintposted on 2020-12-18, 13:58 authored by Shamika Ganesan, vinayakumar Rvinayakumar R, Moez KrichenMoez Krichen, Sowmya V, Roobaea Alroobaea, Soman KP
In this paper, we explore the use of an attention based mechanism known as Residual Attention for malware detection and compare this with existing CNN based methods and conventional Machine Learning algorithms with the help of GIST features. The proposed method outperformed traditional malware detection methods which use Machine Learning and CNN based Deep Learning algorithms, by demonstrating an accuracy of 99.25%.
Email Address of Submitting Authorvinayakumarr77@gmail.com
ORCID of Submitting Author0000-0001-6873-6469
Submitting Author's InstitutionPrince Mohammad Bin Fahd University
Submitting Author's Country
- Saudi Arabia