Brand Protection System Using Harmfulness Coefficient
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Solution Overview
Problem
Existing brand protection methods are inadequate in quickly responding to unauthorized use of brands, leading to delayed assessment and mitigation of damage caused by fraudulent websites.
Innovation Solution
A method and system that analyze search results from search engines to identify fraudulent websites by calculating a harmfulness coefficient and generating an investment damage score, enabling timely brand protection measures such as blocking, reducing traffic, and notifying customers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional brand protection methods are used, then brand monitoring is performed, but the response time is slow and damage assessment is delayed
Solution Approach 1:
The system performs preliminary actions by continuously monitoring search results and pre-calculating harmfulness coefficients for websites before they cause significant damage. Search results are analyzed in advance, and fraudulent websites are identified proactively rather than reactively, enabling faster response when brand infringement is detected.
Solution Approach 2:
The patent replaces manual brand protection methods with an automated computer-implemented system. The system automatically analyzes search results, calculates harmfulness coefficients, generates damage scores, and identifies fraudulent websites without human intervention, significantly reducing response time and improving assessment efficiency.
2Reliability
If comprehensive brand monitoring is implemented, then brand protection coverage is improved, but the complexity of the system increases
Solution Approach 1:
The system uses parameter changes by calculating a harmfulness coefficient based on multiple parameters including search result position, domain characteristics, website content analysis, and traffic patterns. By dynamically adjusting and evaluating these parameters, the system achieves comprehensive brand protection coverage while maintaining manageable complexity through automated parameter-based decision making.
3Speed
If search results are analyzed in real-time, then fraudulent websites are identified quickly, but the computational resources required increase
Solution Approach 1:
The system applies local quality by focusing computational resources on specific high-risk areas rather than uniformly analyzing all search results. Websites appearing in top search results (positions 1-10) for brand-related queries are prioritized for detailed analysis, as these are most likely to cause brand damage. This selective approach maintains fast identification speed while reducing overall computational resource consumption.
Data Source
AI summary
A method of and a system for reducing access to a web resource are provided. The method comprises: receiving an information indicative of a brand to be protected; identifying a set of most popular search queries associated with the brand; acquiring a set of search results for at least one of the set of most popular search queries; calculating a harmfulness coefficient for at least one website contained in the set of search results; identifying the at least one website having the harmfulness coefficient exceeding a threshold value and defining it as a fraudulent website; generating an investment damage score for the fraudulent website; and causing execution of a brand protection measure against the fraudulent website in accordance with the investment damage score.