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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Bibliografische gegevens
Hoofdauteurs: Sejun Jang, Shuyu Li, Yunsick Sung
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2020-10-01
Reeks:Applied Sciences
Onderwerpen:
artificial intelligence
cybersecurity
information security
malware classification
malware visualization
Online toegang:https://www.mdpi.com/2076-3417/10/21/7585
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