QRThreatScan – Secure QR Code Scanning with Advanced Malicious URL Detection Framework | Codebook.in скачать в хорошем качестве

QRThreatScan – Secure QR Code Scanning with Advanced Malicious URL Detection Framework | Codebook.in

The increasing prevalence of phishing attacks and malicious URL exploitation poses a serious threat to digital security, resulting in substantial financial and data losses worldwide. Traditional blacklisting approaches are reactive and insufficient against rapidly evolving attack vectors. Although advanced machine learning frameworks have been proposed to detect malicious URLs using structural and lexical features, many solutions remain limited to browser-level or network-layer deployment and lack proactive user-facing verification mechanisms, particularly for QR code–based link dissemination. This project introduces the Dynamic QR-Enhanced Threat Assessment (DQETA) Framework, implemented as a full-stack web application using Python and the Django framework in compliance with IEEE academic standards. The system utilizes a structured dataset of 10,000 URL records to train and evaluate multiple supervised machine learning algorithms, including Support Vector Machine, Logistic Regression, K-Nearest Neighbors, and Random Forest classifiers. The highest-performing model is deployed within an interactive web interface that enables users to submit URLs for real-time classification as malicious or benign. Additionally, the framework generates a dynamic QR code embedding the analyzed URL along with its classification result, allowing users to verify link safety prior to access. A feedback-driven mechanism supports ongoing dataset refinement and model performance monitoring. Designed strictly for academic and research purposes, this project demonstrates applied cybersecurity analytics, machine learning model deployment, QR-based verification systems, and full-stack web development for proactive digital threat mitigation. TAGS: ieeeprojects, pythonprojects, djangoprojects, pythonwebapplications, pythonfullstackprojects, computerscienceprojects, computersciencefinalyearprojects, cseprojects, itprojects, finalyearprojects, finalsemprojects, finalyearstudentsprojects, btechprojects, beprojects, mtechprojects, meprojects, mcaprojects, mscprojects, majorprojects, miniprojects, liveprojects, researchorientedprojects CATEGORY: Education AUDIENCE: B.E, B.Tech, MCA, MSc, M.E, M.Tech, BCA and BSc—Universities in India & Abroad AVAILABLE PROJECTS DATA DOWNLOADS: https://stiny.in/CODEBK CONTACT & PRICING SECTION: Website: https://codebook.in Email: projects@codebook.in Phone / WhatsApp: +91 8555887986 WhatsApp (Direct Chat): https://wa.me/918555887986 Company Profile: https://g.co/kgs/RRXbkEr For pricing and documentation details, please share your academic requirements via WhatsApp or email. DISCLAIMER: This project is developed strictly for academic and research purposes following IEEE guidelines.