Generative Adversarial Network for Global Image-Based Local Image to Improve Malware Classification Using Convolutional Neural Network

Generative Adversarial Network for Global Image-Based Local Image to Improve Malware Classification Using Convolutional Neural Network

Malware detection and classification methods are being actively developed to protect personal information from hackers. Global images of malware (in a program that includes personal information) can be utilized to detect or classify it. This method is efficient, given that small changes in the progr...

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Bibliographic Details
Main Authors:	Sejun Jang, Shuyu Li, Yunsick Sung
Format:	Article
Language:	English
Published:	MDPI AG 2020-10-01
Series:	Applied Sciences
Subjects:	artificial intelligence cybersecurity information security malware classification malware visualization
Online Access:	https://www.mdpi.com/2076-3417/10/21/7585

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