From malware samples to fractal images: A new paradigm for classification

Author:

Zelinka IvanORCID,Szczypka MiloslavORCID,Plucar JanORCID,Kuznetsov NikolayORCID

Funder

Vysoká Škola Bánská - Technická Univerzita Ostrava

European Commission

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis,General Computer Science,Theoretical Computer Science

Reference55 articles.

1. A novel framework for image-based malware detection with a deep neural network;Jian;Comput. Secur.,2021

2. Malware classification using simhash encoding and PCA (MCSP);Kwon;Symmetry,2020

3. A multi-channel visualization method for malware classification based on deep learning;Qiao,2019

4. Malware identification using visualization images and deep learning;Ni;Comput. Secur.,2018

5. Detecting android malware by applying classification techniques on images patterns;Yang,2017

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