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@article{ART002826287},
author={Do Hyun Lim and Ahn, Hyunchul},
title={A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={3},
pages={173-182},
doi={10.9708/jksci.2022.27.03.173}

TY - JOUR
AU - Do Hyun Lim
AU - Ahn, Hyunchul
TI - A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 3
PB - The Korean Society Of Computer And Information
SP - 173
EP - 182
SN - 1598-849X
AB - In this paper, we propose a machine learning model that can prevent fraudulent transactions in advance and interpret them using the XAI approach. For the experiment, we collected a real data set of 12,258 mobile phone sales posts from Joonggonara, a major domestic online C2C resale trading platform. Characteristics of the text corresponding to the post body were extracted using Doc2vec, dimensionality was reduced through PCA, and various derived variables were created based on previous research. To mitigate the data imbalance problem in the preprocessing stage, a complex sampling method that combines oversampling and undersampling was applied. Then, various machine learning models were built to detect fraudulent postings. As a result of the analysis, LightGBM showed the best performance compared to other machine learning models. And as a result of SHAP, if the price is unreasonably low compared to the market price and if there is no indication of the transaction area, there was a high probability that it was a fraudulent post. Also, high price, no safe transaction, the more the courier transaction, and the higher the ratio of 0 in the price also led to fraud.
KW - Fraud Detection;Online C2C Resale Market;Doc2vec;LightGBM;SHAP
DO - 10.9708/jksci.2022.27.03.173
ER -

Do Hyun Lim and Ahn, Hyunchul. (2022). A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec. Journal of The Korea Society of Computer and Information, 27(3), 173-182.

Do Hyun Lim and Ahn, Hyunchul. 2022, "A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec", Journal of The Korea Society of Computer and Information, vol.27, no.3 pp.173-182. Available from: doi:10.9708/jksci.2022.27.03.173

Do Hyun Lim, Ahn, Hyunchul "A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec" Journal of The Korea Society of Computer and Information 27.3 pp.173-182 (2022) : 173.

Do Hyun Lim, Ahn, Hyunchul. A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec. 2022; 27(3), 173-182. Available from: doi:10.9708/jksci.2022.27.03.173

Do Hyun Lim and Ahn, Hyunchul. "A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec" Journal of The Korea Society of Computer and Information 27, no.3 (2022) : 173-182.doi: 10.9708/jksci.2022.27.03.173

Do Hyun Lim; Ahn, Hyunchul. A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec. Journal of The Korea Society of Computer and Information, 27(3), 173-182. doi: 10.9708/jksci.2022.27.03.173

Do Hyun Lim; Ahn, Hyunchul. A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec. Journal of The Korea Society of Computer and Information. 2022; 27(3) 173-182. doi: 10.9708/jksci.2022.27.03.173

Do Hyun Lim, Ahn, Hyunchul. A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec. 2022; 27(3), 173-182. Available from: doi:10.9708/jksci.2022.27.03.173

Do Hyun Lim and Ahn, Hyunchul. "A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec" Journal of The Korea Society of Computer and Information 27, no.3 (2022) : 173-182.doi: 10.9708/jksci.2022.27.03.173