Automated Web Compliance Monitoring via Forensic Data Analysis

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Solution Overview

Problem

The increasing complexity of online content and growing concerns over consumer privacy make it challenging for advertisers and publishers to cost-effectively monitor compliance with privacy and security regulations, particularly in ensuring the effectiveness of opt-out systems and tracking activities.

Innovation Solution

A computer-implemented method and system that generates forensic data from web pages, performs analytical operations, and assesses compliance with privacy and security regulations by scanning and analyzing data, including operations on hyperlinks, image calls, locally-stored objects, and page requests, to provide output indicative of regulatory compliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual monitoring methods are used to check compliance with privacy regulations, then implementation cost is low, but monitoring accuracy and coverage are insufficient due to the increasing volume of web content

Engineering Contradiction:
Improvecompliance monitoring accuracyVSAvoidmonitoring system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system enables automated self-monitoring of compliance through robotic agents that autonomously navigate web pages, execute operations, and generate compliance assessments without human intervention. The robotic agent automatically performs scanning operations, analyzes forensic data, and determines compliance status, allowing the system to serve itself in monitoring its own compliance with privacy regulations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual compliance monitoring activities are replaced with automated robotic agents that simulate user interactions and perform analytical operations. The mechanical process of manually reviewing web pages is substituted with an automated system that uses processors to execute operations on content, generate forensic data, and assess compliance, significantly improving accuracy and coverage.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If comprehensive tracking and monitoring activities are implemented to ensure compliance, then compliance coverage is improved, but consumer privacy concerns and security risks increase

Engineering Contradiction:
Improvecompliance assuranceVSAvoidprivacy and security risks
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The robotic agent acts as an intermediary that performs compliance monitoring on behalf of advertisers and publishers. It navigates web pages, executes operations, and generates compliance assessments without requiring the actual advertisers or publishers to implement invasive tracking mechanisms. The system mediates between compliance requirements and privacy protection by using automated agents that can monitor compliance without the same privacy risks as traditional tracking methods.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system creates a virtual copy of user interactions through robotic agents that simulate browsing behavior. Instead of tracking actual consumers, the system uses robotic agents to copy and replicate user navigation patterns, execute operations on web pages, and generate compliance data. This copying approach allows comprehensive monitoring while protecting real consumer privacy.

Inventive Principle:
Principle #26Copying

3Measurement precision

If automated robotic agents are deployed to scan and analyze web pages, then compliance monitoring accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:
Improvecompliance assessment accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-configuring robotic agents with specific operations to execute on web pages. The agents are prepared in advance with instructions to perform scanning operations, generate forensic data, and assess compliance. This preliminary preparation allows the system to quickly execute compliance checks without extensive processing time during actual monitoring, as the analytical framework is already established.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The compliance monitoring process is segmented into distinct operational phases: navigation to web pages, execution of specific operations on content, generation of forensic data, and compliance assessment. Each robotic agent can be configured to perform specific segments of the monitoring process, allowing parallel processing and reducing overall processing time while maintaining comprehensive coverage and accuracy.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS9521166B2Systems and methods for testing online systems and content
Publication Date: 2016.12.13 YAHOO ASSETS LLC
  • US9521166B2 patent drawing
  • US9521166B2 patent drawing
  • US9521166B2 patent drawing

AI summary

Systems and methods are provided for automatically monitoring a compliance of web pages and graphical user interfaces with governmental and self-regulatory privacy and security policies. In accordance with one implementation, a method is provided that comprises instructing the execution of an operation on content associated with at least one web page is generated. The operation may include at least one of (i) a scanning operation that generates forensic data corresponding to the web page or (ii) an analytical operation that analyzes at least a portion of the forensic data corresponding to the web page. The method further comprises obtaining output data associated with the executed operation, and generating information indicative of a compliance of the web page with at least one of a privacy regulation or a security regulation, the information being generated based on the output data.