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Robust Malware Detection using Residual Attention Network

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posted on 18.12.2020, 13:58 by Shamika Ganesan, vinayakumar R, Moez 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%.

History

Email Address of Submitting Author

vinayakumarr77@gmail.com

ORCID of Submitting Author

0000-0001-6873-6469

Submitting Author's Institution

Prince Mohammad Bin Fahd University

Submitting Author's Country

Saudi Arabia

Licence

Exports