Classification of Grayscale Malware Images Using the K-Nearest Neighbor Algorithm

[1]  Dan Chia-Tien Lo,et al.  Binary malware image classification using machine learning with local binary pattern , 2017, 2017 IEEE International Conference on Big Data (Big Data).

[2]  Erdogan Dogdu,et al.  Malware classification using deep learning methods , 2018, ACM Southeast Regional Conference.

[3]  Aziz Makandar,et al.  Malware class recognition using image processing techniques , 2017, 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI).

[4]  K. Marimuthu,et al.  A New Malware Detection System Using Machine Learning Techniques for API Call Sequences , 2018 .

[5]  Aziz Makandar,et al.  Malware analysis and classification using Artificial Neural Network , 2015, 2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15).

[6]  Aziz Makandar,et al.  Wavelet Statistical Feature based Malware Class Recognition and Classification using Supervised Learning Classifier , 2017 .

[7]  Carsten Willems,et al.  Learning and Classification of Malware Behavior , 2008, DIMVA.

[8]  Md. Rafiqul Islam,et al.  Classification of malware based on integrated static and dynamic features , 2013, J. Netw. Comput. Appl..

[9]  B. S. Manjunath,et al.  Malware images: visualization and automatic classification , 2011, VizSec '11.