A Novel Solutions for Malicious Code Detection and Family Clustering Based on Machine Learning

A Novel Solutions for Malicious Code Detection and Family Clustering Based on Machine Learning

Malware has become a major threat to cyberspace security, not only because of the increasing complexity of malware itself, but also because of the continuously created and produced malicious code. In this paper, we propose two novel methods to solve the malware identification problem. One is to solv...

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Bibliographic Details
Main Authors: Hangfeng Yang, Shudong Li, Xiaobo Wu, Hui Lu, Weihong Han
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Malware
ensemble model
malware classification
family clustering
t-SNE
Online Access:https://ieeexplore.ieee.org/document/8863895/

Internet

https://ieeexplore.ieee.org/document/8863895/

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