The Effectiveness of Zero-Day Attacks Data Samples Generated via GANs on Deep Learning Classifiers

The Effectiveness of Zero-Day Attacks Data Samples Generated via GANs on Deep Learning Classifiers

Digitization of most of the services that people use in their everyday life has, among others, led to increased needs for cybersecurity. As digital tools increase day by day and new software and hardware launch out-of-the box, detection of known existing vulnerabilities, or zero-day as they are comm...

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Bibliographic Details
Main Authors:	Nikolaos Peppes, Theodoros Alexakis, Evgenia Adamopoulou, Konstantinos Demestichas
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Sensors
Subjects:	zero-day attacks malware detection Generative Adversarial Networks (GANs) cybersecurity deep learning information security
Online Access:	https://www.mdpi.com/1424-8220/23/2/900

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