An improved two-hidden-layer extreme learning machine for malware hunting
Abstract
Detecting unknown malware and their variants remains both an operational challenge and a research challenge. In recent years, there have been attempts to design machine learning techniques to increase the success of existing automated malware detection and analysis. In this paper, we build a modified Two-hidden-layered Extreme Learning Machine (TELM), which uses the dependency of malware sequence elements in addition to having the advantage of...
Paper Details
Title
An improved two-hidden-layer extreme learning machine for malware hunting
Published Date
Feb 1, 2020
Journal
Volume
89
Pages
101655
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