@article{ART002685886},
author={Ji-Yun Byeon and Dae-Ho Kim and Hee-Chul Kim and Sang-Yong Choi},
title={RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={2},
pages={61-68},
doi={10.9708/jksci.2021.26.02.061}
TY - JOUR
AU - Ji-Yun Byeon
AU - Dae-Ho Kim
AU - Hee-Chul Kim
AU - Sang-Yong Choi
TI - RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 2
PB - The Korean Society Of Computer And Information
SP - 61
EP - 68
SN - 1598-849X
AB - Recently, various technologies that use machine learning to classify malicious code have been studied.
In order to enhance the effectiveness of machine learning, it is most important to extract properties to identify malicious codes and normal binaries. In this paper, we propose a feature extraction method for use in machine learning using recursive methods. The proposed method selects the final feature using recursive methods for individual features to maximize the performance of machine learning. In detail, we use the method of extracting the best performing features among individual feature at each stage, and then combining the extracted features. We extract features with the proposed method and apply them to machine learning algorithms such as Decision Tree, SVM, Random Forest, and KNN, to validate that machine learning performance improves as the steps continue.
KW - machine learning;feature;recursive;malware;classification
DO - 10.9708/jksci.2021.26.02.061
ER -
Ji-Yun Byeon, Dae-Ho Kim, Hee-Chul Kim and Sang-Yong Choi. (2021). RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification. Journal of The Korea Society of Computer and Information, 26(2), 61-68.
Ji-Yun Byeon, Dae-Ho Kim, Hee-Chul Kim and Sang-Yong Choi. 2021, "RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification", Journal of The Korea Society of Computer and Information, vol.26, no.2 pp.61-68. Available from: doi:10.9708/jksci.2021.26.02.061
Ji-Yun Byeon, Dae-Ho Kim, Hee-Chul Kim, Sang-Yong Choi "RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification" Journal of The Korea Society of Computer and Information 26.2 pp.61-68 (2021) : 61.
Ji-Yun Byeon, Dae-Ho Kim, Hee-Chul Kim, Sang-Yong Choi. RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification. 2021; 26(2), 61-68. Available from: doi:10.9708/jksci.2021.26.02.061
Ji-Yun Byeon, Dae-Ho Kim, Hee-Chul Kim and Sang-Yong Choi. "RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification" Journal of The Korea Society of Computer and Information 26, no.2 (2021) : 61-68.doi: 10.9708/jksci.2021.26.02.061
Ji-Yun Byeon; Dae-Ho Kim; Hee-Chul Kim; Sang-Yong Choi. RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification. Journal of The Korea Society of Computer and Information, 26(2), 61-68. doi: 10.9708/jksci.2021.26.02.061
Ji-Yun Byeon; Dae-Ho Kim; Hee-Chul Kim; Sang-Yong Choi. RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification. Journal of The Korea Society of Computer and Information. 2021; 26(2) 61-68. doi: 10.9708/jksci.2021.26.02.061
Ji-Yun Byeon, Dae-Ho Kim, Hee-Chul Kim, Sang-Yong Choi. RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification. 2021; 26(2), 61-68. Available from: doi:10.9708/jksci.2021.26.02.061
Ji-Yun Byeon, Dae-Ho Kim, Hee-Chul Kim and Sang-Yong Choi. "RFA: Recursive Feature Addition Algorithm for Machine Learning-Based Malware Classification" Journal of The Korea Society of Computer and Information 26, no.2 (2021) : 61-68.doi: 10.9708/jksci.2021.26.02.061
