Browser Script Inspection for Blocking Privacy Vulnerabilities
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Solution Overview
Problem
Existing browser security systems fail to effectively prevent the communication of personal identifying information (PII) and other sensitive data to third-party sites, leading to privacy vulnerabilities and security breaches.
Innovation Solution
A browser-based inspection module dynamically analyzes scripts associated with web domains to identify privacy vulnerabilities, generates customized privacy plans, and blocks or combats these vulnerabilities using AI and machine learning techniques, ensuring data protection and user-defined preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing browser security systems are used, then basic security functions are provided, but they fail to effectively prevent communication of PII and sensitive data to third-party sites
Solution Approach 1:
The security system is divided into distinct functional modules: an inspection module that analyzes scripts, a blocking module that prevents communications, and a combating module that actively counteracts vulnerabilities. This segmentation allows each module to specialize in specific tasks, improving overall reliability while managing complexity through modular design.
Solution Approach 2:
The inspection module performs preliminary analysis of scripts associated with web domains before actual data communications occur. By identifying privacy vulnerabilities in advance and generating customized privacy plans, the system prevents PII communications proactively rather than reacting after breaches occur, thereby improving reliability.
2Measurement precision
If dynamic script analysis is performed to identify privacy vulnerabilities, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The inspection module performs partial analysis by focusing on specific script patterns and characteristics most indicative of privacy vulnerabilities, rather than analyzing every aspect of each script exhaustively. This selective approach maintains high detection accuracy while reducing processing time and computational overhead.
Solution Approach 2:
The system incorporates feedback mechanisms where results from previous inspections inform future analysis priorities. By learning from identified vulnerabilities and adjusting inspection strategies accordingly, the system improves detection accuracy over time while optimizing processing efficiency through experience.
3Adaptability or versatility
If customized privacy plans are generated and executed, then user-specific privacy protection is achieved, but system complexity and operational overhead increase
Solution Approach 1:
The system generates customized privacy plans automatically based on inspection results and user preferences without requiring manual configuration. The automated generation and execution of privacy plans maintain high adaptability to user needs while preserving operational simplicity by eliminating the need for users to manually manage complex privacy settings.
Data Source
AI summary
Systems and methods are provided for inspecting, identifying, blocking, and combatting browser security vulnerabilities. In various embodiments, an inspection module may execute on a browser accessing a web domain on a first computing device. Inspection modules may dynamically analyze a set of scripts associated with the web domain to identify privacy vulnerabilities. Such vulnerabilities may be blocked and/or combatted to prevent communications of private information to one or more third-, fourth-, . . . , nth-party sites and applications. Embodiments may generate a customized privacy plan directed to one or more privacy vulnerabilities and execute on a graphical user interface on a computing device.