SkamSheild: Spam, Scam Detector for Mobile Devices

Users often encounter calls, SMS messages, and links across various mobile platforms, including browsers, social media, and messaging apps. However, when doubts arise regarding the legitimacy of these communications, such as suspicions of phishing attacks or the presence of malicious links, users currently lack a dedicated platform for submitting and reviewing such content. This absence of a centralized platform leaves users vulnerable to potential threats, as they lack a reliable mechanism to report and verify suspicious communications. Consequently, there is a pressing need for the development of a dedicated platform where users can submit calls, SMS messages, and links for review by trusted authorities or community members. Such a platform would empower users to proactively address security concerns, enhance collective awareness of potential threats, and contribute to the creation of a safer digital environment for all mobile users. To address this pressing issue, we propose the development of a comprehensive mobile application equipped with automatic detection capabilities tailored to identify and mitigate spams and scams. In addition to its automated features, the application empowers users to manually contribute instances of suspicious content encountered on diverse platforms, fostering a community-driven approach to combating online fraud. Complementing the mobile app, a dedicated web application will cater to administrative users, providing them with the tools and resources needed to conduct thorough reviews of reported instances. Through a systematic review process, pertinent information about identified spams and scams will be meticulously documented and stored in a secure database, facilitating further analysis and informing future detection strategies.