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PRIVGUARD – Scam Detection App

Mrs. Sini Prabhakar, Preethiswaran G, Ratheesh U, Navin T G, Niresh S

Abstract


In an era dominated by digital communication, cyber scams and fraudulent activities have become increasingly common and sophisticated. Users often fall victim to phishing links, fake websites, and deceptive messages that compromise their personal information and privacy. PrivGuard – Scam Detector App is an intelligent mobile application designed to detect and prevent such online scams in real time. It uses Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) techniques to analyze communication content, identify suspicious patterns, and alert users before any damage occurs.

The app continuously monitors messages, emails, and URLs, classifying them as safe, suspicious, or fraudulent. PrivGuard also ensures data security and privacy through encrypted communication and anonymous processing. With features like phishing URL detection, scam awareness tips, and user feedback-based learning, the system empowers individuals to make informed decisions online. PrivGuard ultimately aims to reduce cyber fraud and promote a safer digital environment through proactive scam detection.


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References


Google Safe Browsing API Documentation.

A. Kumar & P. Singh, “Phishing Detection Using Machine Learning,” IEEE Access, 2022.

N. Gupta et al., “Spam Message Filtering Using Natural Language Processing,” IJCSIT, 2021.

S. Tan & Y. Li, “Text Classification with Machine Learning,” Springer, 2020.

OWASP Foundation, “Mobile Security Guidelines,” 2023.


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