Browser Tracker for Online Privacy Violation Detection
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Solution Overview
Problem
Current methods fail to effectively track and detect online privacy violations, as they lack mechanisms to monitor and store user data submissions across websites, leading to potential privacy breaches and lack of accountability in data sharing practices.
Innovation Solution
A system and method that embeds a tracker in a web browser to capture user data submissions, generate personalized privacy profiles, and store browsing history in a cloud-based database, allowing for detection of privacy violations by comparing submitted data with stored records, alerting users to potential breaches and identifying responsible parties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a tracker is embedded in the browser to capture and store user data submissions, then the ability to detect privacy violations is improved, but the device complexity and data storage requirements increase
Solution Approach 1:
The tracker is embedded within the existing web browser architecture, nesting the privacy monitoring functionality inside the browser's existing framework. This allows the system to leverage the browser's existing infrastructure for data capture and storage while adding privacy detection capabilities, rather than creating a completely separate system.
Solution Approach 2:
The tracker is designed to perform multiple functions: capturing user data submissions, storing browsing history, generating privacy profiles, and detecting privacy violations. By consolidating these functions into a single integrated system, the patent reduces overall system complexity despite the enhanced detection capabilities.
2Reliability
If user data submissions are tracked and stored in a database, then privacy violation detection is improved, but the loss of information privacy increases
Solution Approach 1:
The patent extracts only the necessary metadata for privacy detection (data field names, submission timestamps, website URLs) while excluding the actual sensitive user data values from storage in the privacy database. This allows the system to detect violations without retaining the private information itself.
Solution Approach 2:
The system introduces an intermediary tracking layer that monitors data submissions without directly accessing or storing the actual sensitive user information. The tracker mediates between the user's data input and the storage system, capturing only the structural information needed for violation detection while preserving data privacy.
3Reliability
If manual tracking of submitted data fields is implemented, then privacy monitoring capability is improved, but the ease of operation deteriorates
Solution Approach 1:
The tracker operates automatically in the background without requiring user intervention for data capture and monitoring. It self-activates when users submit data forms, automatically captures the submission details, stores them in the database, and continuously monitors for privacy violations, freeing users from manual tracking tasks.
Solution Approach 2:
The system performs preliminary actions by pre-configuring the tracker to automatically capture and store data field information before any privacy violation occurs. This proactive approach eliminates the need for users to manually track their data submissions after the fact.
4Ease of operation
If browsing history is stored locally in the browser, then accessibility is improved, but the adaptability to multiple devices and users deteriorates
Solution Approach 1:
The patent transitions the storage dimension from local browser storage (single device) to cloud-based database storage (accessible across multiple devices and users). This dimensional shift allows the same browsing history and privacy data to be accessed from any device while maintaining user-specific privacy profiles through authentication.
Solution Approach 2:
The system segments browsing history storage by creating user-specific privacy profiles in the database, separating data for different users while maintaining centralized accessibility. This allows multiple users to share the same system while their individual data remains distinct and accessible only to them.
Data Source
AI summary
The present invention relates to a method to detect online privacy violation. The method comprising steps of embedding a tracker into a web browser to open at least one data consumer website or at least one third party website wherein a user submits at least one data value into their corresponding data field in a data consumer website; generating one or more privacy profile using the tracker wherein the profile assists the user to select one or more data fields as per the user preferences; capturing the user selected one or more data fields and their corresponding plurality of browsing history using the tracker; storing the profile and the plurality of browsing history into at least one database; triggering of the tracker for detecting online privacy violation in a third party website and submitting at least one data field into at least one input field to detect online privacy violation for the submitted data field.