实时检测网站风险，防欺诈保安全
A Machine Learning Driven Website Platform and Browser Extension for Real-time Scoring and Fraud Detection for Website Legitimacy Verification and Consumer Protection
- 基于机器学习分析网站行为与流量，实时评分
- 浏览器插件即时预警，降低用户受骗风险
- 适合电商用户与日常上网者，提升数字安全
本文提出一种基于机器学习的网站平台及浏览器扩展，旨在通过实时风险评分与欺诈检测，提升网站合法性验证与消费者保护能力。系统在后台无缝分析网站行为、网络流量和用户交互，一旦发现潜在威胁即刻提供反馈与警报。通过集成至用户友好的浏览器插件，该平台帮助个人安全浏览网页，有效降低遭遇诈骗网站的风险。其实时性在电子商务与日常浏览中尤为关键，可及时避免财务损失、身份盗窃及恶意站点暴露。本研究展示了该解决方案在快速响应、实用性强方面的优势，凸显其在维护数字交易信任中的重要作用，是当前日益数字化环境中防范欺诈的重要工具。
原文摘要 · Abstract (English)
This paper introduces a Machine Learning-Driven website Platform and Browser Extension designed to quickly enhance online security by providing real-time risk scoring and fraud detection for website legitimacy verification and consumer protection. The platform works seamlessly in the background to analyze website behavior, network traffic, and user interactions, offering immediate feedback and alerts when potential threats are detected. By integrating this system into a user-friendly browser extension, the platform empowers individuals to navigate the web safely, reducing the risk of engaging with fraudulent websites. Its real-time functionality is crucial in e-commerce and everyday browsing, where quick, actionable insights can prevent financial losses, identity theft, and exposure to malicious sites. This paper explores how this solution offers a practical, fast-acting tool for enhancing online consumer protection, underscoring its potential to play a critical role in safeguarding users and maintaining trust in digital transactions. The platform's focus on speed and efficiency makes it an essential asset for preventing fraud in today's increasingly digital world.
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