Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification

Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification

The number of malware has steadily increased as malware spread and evasion techniques have advanced. Machine learning has contributed to making malware analysis more efficient by detecting various behavioral and evasion patterns. However, when analyzing large-scale malware datasets, malware analysis...

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Bibliographic Details
Main Authors: Byunghyun Baek, Seoungyul Euh, Dongheon Baek, Donghoon Kim, Doosung Hwang
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Malware family classification
histogram entropy
low-dimensional feature
hyperrectangle
prototype selection
ensemble model
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/deaead13448e41498741bd0ea8718439
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https://doaj.org/article/deaead13448e41498741bd0ea8718439

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