Analyzing and Explaining Black-Box Models for Online Malware Detection

Analyzing and Explaining Black-Box Models for Online Malware Detection

In recent years, a significant amount of research has focused on analyzing the effectiveness of machine learning (ML) models for malware detection. These approaches have ranged from methods such as decision trees and clustering to more complex approaches like support vector machine (SVM) and deep ne...

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Bibliographic Details
Main Authors: Harikha Manthena, Jeffrey C. Kimmel, Mahmoud Abdelsalam, Maanak Gupta
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Explainable AI
explainable malware analysis
interpretability
explainability
SHAP
online malware detection
Online Access:https://ieeexplore.ieee.org/document/10064285/

Internet

https://ieeexplore.ieee.org/document/10064285/

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