Abstract
Social engineering through online conversations can occur via phone calls, Skype, or Google Meet, among others. This paper presents a machine learning-based classifier for detecting scam conversations in various online formats, including live call conversations. However, selecting an appropriate dataset and the optimal vectorization technique for the algorithm remains challenging, and many fraudulent scams remain undetectable in online conversations. Consequently, six experiments were conducted to apply a machine learning classifier, resulting in 108 outcomes. All six experiments demonstrate that different classifiers possess unique strengths and weaknesses when applied to different scenarios. When compared to Doc2Vec, the vectorization techniques of Universal Sentence Encoder yield excellent results. Among various clustering methods, K-Means and the EM algorithm perform exceptionally well. The results reveal that Random Forest and CatBoost classifiers outperform others in terms of accuracy, precision, recall, and F1-score across all cases. These findings can contribute to enhancing the detection of scam attempts in live call conversations, thus helping protect individuals from falling victim to scams.
Original language | English |
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Title of host publication | Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023 |
Subtitle of host publication | NUSYS 2023 |
Editors | Zainah Md. Zain, Zool Hilmi Ismail, Huiping Li, Xianbo Xiang, Rama Rao Karri |
Publisher | Springer Singapore |
Pages | 193-208 |
Number of pages | 16 |
Volume | 1184 |
ISBN (Electronic) | 9789819720279 |
ISBN (Print) | 9789819720262, 9789819720293 |
DOIs | |
Publication status | Published - 17 Sep 2024 |
Event | 13th National Technical Symposium on Unmanned System Technology - Penang, Malaysia Duration: 2 Oct 2023 → 3 Oct 2023 Conference number: 13 |
Publication series
Name | Lecture Notes in Electrical Engineering |
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Publisher | Springer |
Volume | 1184 LNEE |
ISSN (Print) | 1876-1100 |
ISSN (Electronic) | 1876-1119 |
Conference
Conference | 13th National Technical Symposium on Unmanned System Technology |
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Abbreviated title | NUSYS 2023 |
Country/Territory | Malaysia |
City | Penang |
Period | 2/10/23 → 3/10/23 |