Phishing Detection via Microblog Feature Credibility Analysis
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Solution Overview
Problem
Users cannot determine whether a URL in a microblog post is a phishing website, posing a risk to their privacy and security.
Innovation Solution
A method and system that acquire information from microblog posts, extract features, calculate the credibility of URLs, and determine if they are phishing sites using an acquisition module, analysis module, calculation module, and determining module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users access websites through microblog URLs, then information acquisition efficiency is improved, but security risk increases due to inability to verify URL credibility
Solution Approach 1:
The system performs preliminary credibility assessment of URLs before users access them by analyzing microblog post features, historical data, and website characteristics in advance. This allows security verification to be completed proactively rather than reactively, maintaining both efficiency and security.
Solution Approach 2:
The invention introduces an intermediary credibility assessment system that mediates between users and URLs. This intermediary analyzes multiple features including microblog post characteristics, website historical data, and URL patterns to provide credibility verification without requiring users to directly examine suspicious URLs.
2Measurement precision
If traditional phishing detection methods are used, then detection accuracy is improved, but user convenience deteriorates due to lack of integration with social media platforms
Solution Approach 1:
The system is designed with multi-functionality to serve both traditional website access and social media integration. It can detect phishing URLs through multiple channels including direct URL input, microblog post analysis, and browser extensions, making it universally applicable while maintaining high detection accuracy.
Solution Approach 2:
The system provides self-service phishing detection by automatically analyzing URLs from microblog posts without requiring manual user intervention. Users simply need to share or view posts, and the system autonomously performs credibility assessment, maintaining convenience while ensuring security.
Data Source
AI summary
One aspect of the present invention relates to a method for detecting a phishing website. The method includes acquiring information related to a microblog post containing a uniform resource locator (URL) of a website; analyzing the information related to the microblog post to extract features of the microblog post; calculating credibility of the URL of the website contained in the microblog post according to the extracted features of the microblog post; and determining according to the credibility of the URL of the website whether the URL of the website is a URL of a phishing website.


