Mobile Application Based on Natural Language Processing for the Prevention and Reporting of Cybercrimes in the District of San Miguel

Torres Llanos L.D.; Alfaro Deza P.T.; Parasi Falcon V.M. · Applications in Software Engineering - Proceedings of the 14th International Conference on Software Process Improvement, CIMPS 2025 (2025) · DOI: 10.1109/cimps69356.2025.11419709

Resumen

This project describes a mobile application for the San Miguel district that uses natural language processing and a chatbot integrated with Dialogflow to guide users in preventing and reporting cybercrimes. It generates PDF reports with a 95% success rate and extracts key data with 92% accuracy in a response time of less than two seconds. Developed with Flutter and powered by Firebase, the solution incorporates an educational module based on the National Institute of Standards and Technology (NIST) framework and complies with the Open Web Application Security Project (OWASP) recommendations and Peru's Digital Government Law, Law No. 1412. The application was validated through vulnerability analysis, framework comparisons, and usability pilot tests, which confirmed its effectiveness. This technological integration aims to increase the number of formal complaints, improve digital awareness, and reduce the number of unreported incidents by offering a more accessible, reliable, and structured process.

Instituciones: Universidad Peruana de Ciencias Aplicadas