Link Reputation Analysis for Preemptive Malicious Site Warnings
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Solution Overview
Problem
Current web browsing safety mechanisms are inadequate in detecting and warning users about malicious or undesirable sites, as they often redirect users after they have already clicked on a link, failing to cover all potential threats and not providing preemptive warnings.
Innovation Solution
A computer-implemented method and system that identifies links based on reputation criteria, such as user feedback and historical interaction data, to provide warnings before redirecting the user to a potential malicious site, including a thumbnail preview and explanation of the warning criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If internet filtering mechanisms are used to warn users about malicious sites, then user safety is improved, but the warning is provided only after the user has been redirected to the site, causing loss of time and browsing efficiency
Solution Approach 1:
The system performs reputation analysis and generates warnings before the user completes navigation to the destination site. By detecting malicious links in advance and presenting warnings at the source site, the system prevents time loss from unnecessary navigation while maintaining safety through pre-emptive threat detection
Solution Approach 2:
The system introduces an intermediary warning mechanism between the user and the destination site. This intermediary layer analyzes link reputation and presents warning information without requiring actual navigation to the potentially malicious site, thus preventing time loss while ensuring safety
2Reliability
If internet filtering mechanisms redirect users after clicking links, then malicious sites are detected, but the solution is limiting and may not cover all malicious or undesirable sites
Solution Approach 1:
The system performs preliminary reputation analysis on links before users navigate to destination sites. By evaluating multiple reputation criteria in advance and presenting warnings at the source site, the system achieves broader coverage of malicious and undesirable sites while maintaining detection reliability
Solution Approach 2:
The system employs multiple reputation criteria including spam detection, phishing indicators, malware associations, and user feedback to create a universal detection mechanism. This multi-functional approach covers various types of malicious and undesirable sites beyond what single-criterion filtering can achieve
3Productivity
If no warning is provided to users about potentially malicious links, then browsing efficiency is maintained, but users are exposed to harmful factors from malicious sites
Solution Approach 1:
The system applies preliminary anti-action by detecting and warning about malicious links before users can be harmed. By presenting warnings at the source site based on pre-analyzed reputation criteria, the system prevents exposure to harmful factors while maintaining browsing efficiency through non-intrusive warning presentation
Data Source
AI summary
A system and computer-implemented method for providing an indication of a quality of a site to a user, the method comprising identifying a link associated with a destination site and being displayed at a source site, determining a reputation of the link based on one or more criteria and whether the determined reputation of the link meets or exceeds a specified threshold and providing a warning for display to a user at the source site when it is determined that the reputation of the link meets the specified threshold, wherein the warning display includes a warning message indicating that the link meets or exceeds the specified threshold and a thumbnail image of the destination site associated with the link.