Network Packet Tokenization for Secure Private Data Access
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Solution Overview
Problem
Existing systems fail to effectively protect private data as it traverses enterprise networks, leading to potential unauthorized access and exposure.
Innovation Solution
A third-party platform for tokenizing and detokenizing network packet data, which identifies private data, encrypts it, and stores it separately, while adding references to the payload, and manages access permissions based on user authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If private data is transmitted through enterprise networks in plain form, then data accessibility and processing efficiency are improved, but security and risk of unauthorized access deteriorate
Solution Approach 1:
The patent segments private data into two components: tokens (references) and actual data values. Tokens are embedded in network packets for efficient processing, while actual data is stored separately in a secure data store. This segmentation allows high-speed token manipulation without exposing sensitive data during transmission.
Solution Approach 2:
The patent introduces tokens as intermediary elements that represent actual private data. Instead of transmitting raw data, the system transmits tokens that reference the data in a secure store. A third-party platform mediates between token holders and actual data, providing controlled access without exposing data during network transmission.
2Reliability
If private data is encrypted and stored separately, then security is improved, but system complexity and access management overhead increase
Solution Approach 1:
The system implements self-service through automated token validation and data retrieval processes. The third-party platform automatically verifies token authenticity, manages encryption keys, and retrieves data without requiring complex manual intervention. This reduces operational complexity while maintaining security.
Solution Approach 2:
The patent creates a universal tokenization framework that can handle multiple types of private data ( personally identifiable information, financial data, health information) through a single standardized system. The third-party platform provides multi-functional services including token validation, data retrieval, access logging, and security management in one integrated system.
3Speed
If tokens are embedded in network packets for efficient processing, then data access speed is improved, but risk of token exposure and unauthorized data retrieval increases
Solution Approach 1:
The patent changes the state of data representation from raw values to encrypted tokens with specific structural parameters. Tokens include metadata such as data type indicators, length information, and cryptographic signatures that enable fast validation without exposing the actual data. The token format is designed to be compact yet sufficiently descriptive for efficient processing.
Solution Approach 2:
The system implements feedback mechanisms where the third-party platform continuously monitors token usage, validates access requests, and logs retrieval operations. This feedback loop detects and prevents unauthorized token usage, providing real-time security verification without slowing down legitimate data access operations.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for securing data. One of the methods includes receiving one or more network data packets. The one or more network data packets include a token that identifies stored sensitive data. The one or more network data packets are desanitized, by: identifying and extracting, from the one or more network data packets, the token; requesting, from a distributed file system, the stored sensitive data, based upon the token; and receiving, in response to the request, the stored sensitive data as received stored sensitive data.