An empirical evaluation on the interpretable methods on Malware analysis

With the upsurge of cybersecurity attacks in recent years, there is a demand for more complex and accurate Malware classifiers to take the limelight. For these complex models to be trusted and be deployed in the wild, it is necessary for the results of these complex models to be explainable and thus...

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Bibliographic Details
Main Author: Ang, Alvis Jie Kai
Other Authors: Liu Yang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148598
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Institution: Nanyang Technological University
Language: English