Korean Voice Phishing Detection Dataset with Multilingual Back-Translation and SMOTE Augmentations

This dataset contains original and augmented versions of the Korean Call Content Vishing (KorCCVi v2) dataset used in the study titled, "Enhancing Voice Phishing Detection Using Multilingual Back-Translation and SMOTE: An Empirical Study." The dataset addresses challenges of data imbalance and asymmetry in Korean voice phishing detection, leveraging data augmentation techniques such as multilingual back-translation (BT) with English, Chinese, and Japanese as intermediate languages, and Synthetic Minority Oversampling Technique (SMOTE). The augmented dataset provides a valuable resource for machine learning (ML) and deep learning (DL) applications in natural language processing (NLP) and cybersecurity research.

本数据集收录了原始及增强版的韩语电话钓鱼诈骗内容数据集（KorCCVi v2），该数据集被应用于名为《通过多语言回译与SMOTE增强语音钓鱼检测：一项实证研究》的研究中。该数据集旨在解决韩语语音钓鱼检测中数据不平衡和不对称的挑战，并利用了如多语言回译（BT）等数据增强技术，其中英语、中文和日语作为中间语言，以及合成少数类过采样技术（SMOTE）。增强后的数据集为自然语言处理（NLP）和网络安全研究中的机器学习（ML）与深度学习（DL）应用提供了宝贵的资源。