A Novel Neural Network-Based Malware Severity Classification System

Published in International Conference on Software Technologies (Springer), 2021

Recommended citation: Miles Q. Li and Benjamin CM Fung. "A Novel Neural Network-Based Malware Severity Classification System." In International Conference on Software Technologies, pp. 218-232. Springer, 2021. https://link.springer.com/chapter/10.1007/978-3-031-11513-4_10

This paper proposes a dedicated neural network-based malware severity classification method developed based on clustering analysis of malware functions. Experimental results show that the proposed method outperforms previously proposed machine learning methods for malware classification on the severity classification problem.

Download paper here

Recommended citation: Miles Q. Li and Benjamin CM Fung. “A Novel Neural Network-Based Malware Severity Classification System.” In International Conference on Software Technologies, pp. 218-232. Springer, 2021.