Adversarial Attacks with Defense Mechanisms on Convolutional Neural Networks and Recurrent Neural Networks for Malware Classification

Adversarial Attacks with Defense Mechanisms on Convolutional Neural Networks and Recurrent Neural Networks for Malware Classification

In the field of behavioral detection, deep learning has been extensively utilized. For example, deep learning models have been utilized to detect and classify malware. Deep learning, however, has vulnerabilities that can be exploited with crafted inputs, resulting in malicious files being misclassif...

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Bibliographic Details
Main Authors: Sharoug Alzaidy, Hamad Binsalleeh
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
adversarial example
artificial intelligence
malware analysis
security
cyber-physical systems
Online Access:https://www.mdpi.com/2076-3417/14/4/1673

Internet

https://www.mdpi.com/2076-3417/14/4/1673

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