Network Resource Misrepresentation Detection System
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Solution Overview
Problem
Users in global computer networks are often deceived into relying on misrepresented resources, leading to potential security breaches and identity theft, as spoofed websites mimic trusted sites to obtain sensitive information.
Innovation Solution
An information handling system determines whether a resource is likely misrepresented by analyzing its URL, content, layout, and site characteristics, using a scoring algorithm to identify potential spoof sites and alert users, thereby reducing deception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users access resources in global computer networks, then information exchange and communication are enabled, but users may be deceived by misrepresented resources leading to security breaches and identity theft
Solution Approach 1:
The system performs preliminary verification of resources before users interact with them. By checking whether a resource is misrepresented as a trusted resource in advance, the system prevents users from being deceived by spoofed sites, thereby resolving the contradiction between enabling network access and protecting against deception.
2Reliability
If the system verifies resources to prevent deception, then user security is improved, but system complexity increases due to analysis requirements
Solution Approach 1:
The system introduces an intermediary verification mechanism that acts as a mediator between users and resources. This intermediary component analyzes whether resources are misrepresented without requiring complex changes to the entire system architecture, thereby improving user security while controlling system complexity.
3Measurement precision
If the system analyzes URL, content, layout and site characteristics to identify spoof sites, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The verification process is segmented into multiple independent analysis components: URL analysis, content analysis, layout analysis, and site characteristics analysis. This segmentation allows the system to perform comprehensive detection accuracy while optimizing processing time by analyzing different aspects separately and in parallel where possible.
Data Source
AI summary
In a first embodiment, an information handling system determines whether a resource is likely misrepresented as a trusted resource within a global computer network. In a second embodiment, the information handling system outputs an indication of whether a resource within a global computer network is recognized as a known trusted resource.