Browser Extension Detection of Personalized or Altered Webpage Content
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current enterprise organization security protocols fail to detect personalized or altered webpage content, which can pose security threats such as phishing attacks and the promotion of inaccurate information.
Innovation Solution
A browser extension tool analyzes webpage requests and user profiles, generates simulated user profiles, and compares webpage content to identify personalized or altered content using machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If enterprise organization security protocols are implemented to monitor webpage content, then security protection is improved, but detection capability against personalized content remains insufficient
Solution Approach 1:
The system creates simulated user profiles that copy the structure and characteristics of real user profiles. These simulated profiles are then used to generate simulated webpage requests, allowing the security system to detect personalized content by comparing the original webpage against versions rendered for simulated users. This copying approach enables detection of content variations without requiring direct access to actual user data.
Solution Approach 2:
The system performs preliminary analysis by generating simulated user profiles and simulated webpage requests before the actual security detection occurs. By pre-processing user profile data and creating simulated requests in advance, the system prepares detection templates that can be quickly applied when monitoring actual webpage content, improving both detection speed and accuracy.
2Measurement precision
If webpage content analysis is performed to detect personalization, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The system applies partial action by focusing analysis only on specific elements of webpage content that are likely to be personalized. Rather than analyzing entire webpages in detail, the system identifies and examines key personalization indicators such as user-specific recommendations, targeted advertisements, and customized content sections. This selective approach maintains high detection accuracy while significantly reducing processing time.
3Measurement precision
If simulated user profiles are generated to detect content variations, then detection capability is improved, but system complexity increases
Solution Approach 1:
The simulated user profile generation system is designed to be universal and multi-functional. The same simulated profiles are used across multiple detection scenarios and can be applied to different types of webpage content. The system can generate simulated profiles for various user types (e.g., different demographics, browsing behaviors, device types) using a single unified framework, reducing overall system complexity while maintaining comprehensive detection capability.
Data Source
AI summary
Aspects of the disclosure relate to identifying personalized or altered webpage content using a browser extension tool. The computing platform may analyze a requested webpage and extract details that describe the webpage request, a user profile associated with the webpage request, and/or the requested webpage. The computing platform may generate a plurality of simulated user profiles and a plurality of simulated webpage requests. The computing platform may compare the requested webpage to the webpages received in response to the simulated webpage requests to determine whether the webpage content on the requested webpage corresponds to the webpage content on the webpages received in response to the simulated webpage requests. Based on determining the webpage content on the requested webpage corresponds to the webpage content on the webpages received in response to the simulated webpage requests, the computing platform may determine the requested webpage does not contain personalized or altered webpage content.