AI Based Fake Challan Detection From Sms Using Machine Learning

DOI

10.2991/978-94-6239-616-6_4How to use a DOI?

Keywords

Fake Challan; SMS Phishing; Machine Learning; XGBoost; Retrieval-Augmented Generation; Explainable AI; Cybersecurity

Abstract

Fake traffic fine messages are becoming a serious online threat. Cybercriminals send SMS texts pretending to be government authorities, pressuring people to pay fines immediately. These messages often include suspicious links, urgent wording, and fake sender names, making them hard for the average user to recognize. Traditional spam filters fail to catch many of these scams because fraudsters constantly change their tactics. To solve this, we propose an AI-based detection system. It uses XGBoost to analyse text features such as word choice, urgency, and sender information. When a link is present, a RAG model verifies whether it leads to an official government website or a phishing page. To build user trust, the system incorporates Explainable AI (SHAP), highlighting unusual words, fake domains, or suspicious sender details. It also directs users to the official fine-payment site, reducing confusion. Our evaluation shows that this AI approach outperforms traditional spam filters, achieving higher accuracy with fewer errors. It is reliable, user-friendly, and scalable, offering strong protection against financial loss from fraudulent traffic fine texts.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - M. Lakshmi Prabha
AU  - K. Balaji
AU  - B. Madhan
AU  - S. Thulasiram
PY  - 2026
DA  - 2026/03/31
TI  - AI Based Fake Challan Detection From Sms Using Machine Learning
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 40
EP  - 52
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_4
DO  - 10.2991/978-94-6239-616-6_4
ID  - Prabha2026
ER  -