Web Browser Automatic Private Mode Switching
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Solution Overview
Problem
Web browsers do not automatically switch to private browsing mode when accessing sensitive information, requiring users to manually toggle settings, which can lead to privacy vulnerabilities.
Innovation Solution
A method and system that calculate a privacy probability based on historical usage patterns, automatically switching the browser from open to private browsing mode when the probability exceeds a set threshold, ensuring enhanced privacy by encrypting navigation history and deleting it after a specified time or upon unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the browser automatically switches to private browsing mode based on privacy probability calculation, then user privacy protection is improved, but the device complexity increases due to the need for privacy probability module and historical usage analysis
Solution Approach 1:
The system performs preliminary analysis of website sensitivity and calculates privacy probability before the user actually visits the website. Historical usage patterns are pre-analyzed to establish baseline privacy preferences, so that when the user accesses a website, the browser is already prepared to switch to private browsing mode if needed, eliminating the need for manual intervention
Solution Approach 2:
The browser system serves itself by automatically monitoring its own usage patterns, calculating privacy probabilities, and making autonomous decisions about when to switch browsing modes. The system learns from historical data and automatically adjusts privacy settings without requiring external user input or manual configuration
2Ease of operation
If the browser manually switches to private browsing mode, then privacy settings are controlled by the user, but the ease of operation deteriorates due to the need for manual toggling and mode switching
Solution Approach 1:
The system continuously monitors user browsing behavior and website characteristics, using this feedback to dynamically calculate privacy probability and automatically adjust browsing mode. The system learns from user responses to privacy situations and refines its automatic switching decisions based on historical patterns and real-time context
Solution Approach 2:
The browsing mode is no longer a static setting that requires manual configuration, but a dynamic state that automatically adjusts based on real-time privacy probability calculations. The system continuously evaluates website sensitivity and user historical behavior to dynamically switch between open and private browsing modes as needed
3Productivity
If the browser stores historical information about usage, then the productivity is improved through better user experience, but the loss of information increases regarding user privacy
Solution Approach 1:
The system applies different privacy protection qualities to different browsing contexts based on website sensitivity. High-risk websites receive enhanced privacy protection with automatic private browsing mode and encrypted storage, while low-risk websites use standard browsing with normal history storage. This localized approach protects privacy where needed while maintaining productivity elsewhere
Data Source
AI summary
A method, system, and computer program product for operating a web browser in an open browsing mode and a private browsing mode. The method may include calculating, by a computer processor, a privacy probability that a website contains information sensitive to the user. The privacy probability may be based, at least in part, on historical use of the private browsing mode by the user. The method may also include comparing the privacy probability to a privacy threshold and automatically switching the browser from the open browsing mode to the private browsing mode for the website if the privacy probability is greater than the privacy threshold.