Synthetic Data Generation for Unauthorized Data Access Diversion
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Solution Overview
Problem
Existing systems are vulnerable to cyber-attacks that lead to data theft, as they fail to effectively prevent unauthorized access and theft of sensitive data.
Innovation Solution
A security manager is implemented to obfuscate sensitive data in real-time, identify and apply varying degrees of obfuscation based on data sensitivity, generate synthetic data to mimic real-world data, and divert unauthorized access to a synthetic system, thereby protecting sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time data obfuscation is implemented to prevent data theft, then data security is improved, but processing time and network delays increase
Solution Approach 1:
The patent segments data into sensitive portions and non-sensitive portions, applying obfuscation only to the sensitive portions identified through data classification. This selective approach reduces processing time compared to obfuscating entire datasets while maintaining security effectiveness.
Solution Approach 2:
Different obfuscation levels are applied to different portions of data based on their sensitivity classification. Critical sensitive data receives stronger obfuscation while less sensitive data receives lighter obfuscation, optimizing the balance between security and processing efficiency.
2Reliability
If comprehensive data obfuscation is applied to all data, then data security is improved, but processing resources and computational efficiency deteriorate
Solution Approach 1:
The system divides data into distinct categories (sensitive and non-sensitive portions) and applies obfuscation selectively only to sensitive portions, avoiding the computational overhead of processing entire datasets.
Solution Approach 2:
The patent implements varying degrees of obfuscation based on data sensitivity levels, applying strong obfuscation only where necessary while using lighter or no obfuscation for less sensitive data, thereby optimizing resource utilization.
3Reliability
If synthetic data generation is used to divert unauthorized access, then data security is improved, but system complexity increases
Solution Approach 1:
The system generates synthetic data that replicates the structure and characteristics of real data without containing actual sensitive information. This copy approach allows the system to maintain data utility for legitimate purposes while providing security against unauthorized access.
Solution Approach 2:
Synthetic data acts as an intermediary between legitimate data access needs and security requirements. The synthetic data can be provided to unauthorized users or used in testing environments, satisfying access requests without exposing real sensitive data.
Data Source
AI summary
In response to receiving a request to generate synthetic data based on real-world data that is stored in a first memory, a processor accesses the first memory to extract at least a portion of the real-world data to use as sample data and determines data properties of the real-world data based on the sample data. The processor generates, based on the data properties, the requested synthetic data that at least partially mimics the real-world data. In response to detecting a request from an unauthorized user to access the real-world data, the processor provides the unauthorized user access to the synthetic data that mimics the real-world data.