Cookie Identification System Using Virtual Profiles
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Solution Overview
Problem
There is a need for improved systems and methods to ensure that website cookies comply with legal and industry regulations by identifying and managing personally identifiable information, as existing technologies fail to effectively determine whether cookies contain such data and may be used to identify individuals.
Innovation Solution
A computer-implemented data processing method that scans websites using unique user profiles to identify cookies, determine their host and purpose, and assess the likelihood of identifying individuals, generating reports for website administrators to manage compliance with legal and industry standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple unique user profiles are used to scan websites for cookies, then the ability to identify whether cookies contain personally identifiable information is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the scanning process by creating multiple unique user profiles, where each profile represents a distinct user perspective. This segmentation allows the system to analyze cookies from different user viewpoints, improving identification accuracy while managing complexity through modular profile management
Solution Approach 2:
The system introduces an intermediary analysis layer that processes cookie data through multiple user profiles before generating identification results. This intermediary process acts as a mediator between raw cookie data and final identification conclusions, enhancing accuracy while structuring the complexity in a manageable workflow
2Reliability
If comprehensive cookie scanning across multiple websites is performed, then the detection capability for personally identifiable information is improved, but the time required for analysis increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple unique user profiles and their associated scanning parameters before the actual cookie analysis begins. This preparation work is done in advance, allowing the comprehensive multi-website scanning to proceed more efficiently without sacrificing detection capability
Solution Approach 2:
The scanning process is organized as periodic action across multiple websites and user profiles, where the system systematically cycles through different profiles and sites in a structured sequence. This periodic approach manages analysis time by breaking down the comprehensive scanning task into manageable time intervals
3Measurement precision
If detailed analysis of cookie host and purpose is conducted to determine identification likelihood, then the precision of personal data identification is improved, but the computational resources required increase
Solution Approach 1:
The system applies local quality by conducting detailed host and purpose analysis only for specific cookies that require identification assessment, rather than uniformly analyzing all cookies. This targeted approach improves identification precision for relevant cookies while reducing unnecessary computational resource consumption
Data Source
AI summary
A system for identifying and determining whether a particular cookie may include personal data, in various embodiments, is configured to analyze collected cookies to determine whether the collected cookies may be used to directly or indirectly identify a particular individual. The system may, for example: (1) generate one or more virtual profiles; (2) use the one or more virtual profiles to access a plurality of websites; (3) collect cookie data for the plurality of websites for the one or more virtual profiles; and (4) analyze the cookie data to determine whether a particular website of the plurality of websites utilizes one or more cookies which may potentially include personal data. The system may then generate a report of the analysis, and display the report to an administrator or other individual associated with the particular website.