Journal of Computer and Communications

Volume 6, Issue 1 (January 2018)

ISSN Print: 2327-5219   ISSN Online: 2327-5227

Google-based Impact Factor: 1.12  Citations  

Malware Images Classification Using Convolutional Neural Network

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DOI: 10.4236/jcc.2018.61016    2,191 Downloads   8,772 Views  Citations

ABSTRACT

Deep learning has been recently achieving a great performance for malware classification task. Several research studies such as that of converting malware into gray-scale images have helped to improve the task of classification in the sense that it is easier to use an image as input to a model that uses Deep Learning’s Convolutional Neural Network. In this paper, we propose a Con-volutional Neural Network model for malware image classification that is able to reach 98% accuracy.

Share and Cite:

Kabanga, E. and Kim, C. (2018) Malware Images Classification Using Convolutional Neural Network. Journal of Computer and Communications, 6, 153-158. doi: 10.4236/jcc.2018.61016.

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