Embedded Data Protection Layer for Network Privacy Obfuscation
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Solution Overview
Problem
Computing devices expose sensitive data privacy elements that can be exploited by unauthorized network hosts, leading to vulnerabilities and data breaches.
Innovation Solution
Implementing an AI-based data protection platform that manages and controls data privacy elements by blocking, modifying, or obfuscating them using artificial profiles, ensuring that only modified data is exposed to network hosts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computing devices connect to the Internet to enable communication and data access, then network functionality and connectivity are improved, but data privacy elements are exposed to unauthorized network hosts, increasing security risks
Solution Approach 1:
The patent introduces an intermediary component that sits between the computing device and the network, intercepting and modifying data privacy elements before they are exposed. This intermediary selectively blocks or modifies sensitive information while allowing legitimate network communication to proceed, thus resolving the contradiction between maintaining network connectivity and preventing data exposure.
2Reliability
If data privacy elements are exposed for network communication, then network functionality is maintained, but unauthorized hosts can exploit vulnerabilities, worsening security
Solution Approach 1:
The patent applies preliminary anti-action by proactively identifying and blocking malicious network hosts before they can exploit vulnerabilities. The system pre-establishes security measures that prevent unauthorized access attempts, thereby maintaining reliable network communication for legitimate users while blocking potential threats in advance.
3Object-affected harmful factors
If all data privacy elements are blocked to prevent exposure, then security is improved, but legitimate network communication and data access are hindered
Solution Approach 1:
The patent applies local quality by selectively applying different treatments to different data privacy elements based on their sensitivity and purpose. Rather than uniformly blocking all data, the system identifies specific sensitive elements to protect while allowing non-sensitive or necessary data to pass through, thus maintaining both security and network usability.
4Object-affected harmful factors
If data privacy elements are modified or obfuscated, then unauthorized access is prevented, but detection and measurement of data accuracy becomes more difficult
Solution Approach 1:
The patent uses copying by creating modified versions of data privacy elements that preserve the essential structure and format needed for network communication while replacing sensitive content with dummy or obfuscated data. This allows the system to maintain data verification processes without exposing actual sensitive information, as the modified copies can be validated without revealing true values.
Data Source
AI summary
Systems and methods for managing data exposure are provided and include a data protection device embedded or otherwise coupled to a computing device. The data protection device receives communications from the computing device and intended for a network resource over a secured connection between the data protection device and the computing device (e.g., a communications interface of the computing device). The data protection device identifies data privacy elements associated with the communication and generates corresponding modified data privacy elements. The data protection device establishes access to the network resource using the modified data privacy elements, thereby causing network hosts attempting to detect the data privacy elements to detect the modified data privacy elements instead.