Web Reputation Service for Real-Time Malicious Site Filtering
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Solution Overview
Problem
Current Web security measures are inadequate in protecting users from various online threats such as viruses, malware, spyware, spam, phishing, and fraudulent websites, as they lack real-time reputation assessment and filtering mechanisms.
Innovation Solution
A Web reputation service that provides real-time database query interfaces for assessing the reputation of Web content, using link structure analysis, white lists, automatic testing, and user feedback to filter out harmful content and provide alternative safe content, integrated with advertising networks and navigation guides to direct users to trustworthy sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time reputation assessment and filtering mechanisms are implemented, then user security is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary reputation assessment of web content before users interact with it. Reputation scores are calculated and stored in advance based on multiple factors including link structure analysis, automatic testing results, user feedback, and comparison against white lists and black lists. When users access web content, the pre-calculated reputation scores are quickly retrieved and displayed, avoiding real-time computation complexity during user interactions.
Solution Approach 2:
The patent introduces a reputation service as an intermediary component between the web content and users. This service acts as a mediator that assesses reputation, stores results in a database, and provides filtering recommendations. The intermediary handles the complexity of reputation analysis separately from the core web browsing functionality, isolating system complexity to a dedicated module.
2Measurement precision
If multiple reputation assessment methods (link structure analysis, automatic testing, user feedback) are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system merges multiple reputation assessment methods including link structure analysis, automatic testing, user feedback, white list comparison, and black list comparison into a unified reputation scoring mechanism. These diverse assessment approaches are integrated and their results are combined to generate an overall reputation score, leveraging the strengths of each method while managing complexity through unified processing.
Solution Approach 2:
The reputation assessment system is designed as a multi-functional universal platform that can evaluate various types of web content using the same core mechanisms. The system handles different assessment methods (link analysis, testing, feedback) through a common architecture that processes diverse inputs and produces standardized reputation scores, making the system adaptable to multiple assessment scenarios without requiring separate specialized systems.
Data Source
AI summary
A system, method, and computer program product comprise presenting a plurality of search results within a graphical user interface. Further, an indicia of risk associated with the search results is presented, in real-time, within the graphical user interface.