SMASH: A Malware Detection Method Based on Multi-Feature Ensemble Learning

SMASH: A Malware Detection Method Based on Multi-Feature Ensemble Learning

With the increasing variants of malware, it is of great significance to detect malware and ensure system security effectively. The existing malware dynamic detection methods are vulnerable to evasion attacks. For this situation, we propose a malware dynamic detection method based on mufti-feature en...

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Bibliographic Details
Main Authors: Yusheng Dai, Hui Li, Yekui Qian, Ruipeng Yang, Min Zheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Anti-evasion
dynamic detection
hardware features
memory dump
Online Access:https://ieeexplore.ieee.org/document/8792043/

Internet

https://ieeexplore.ieee.org/document/8792043/

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