Homomorphic Encryption Engine for Multi-Cloud Translytical Data Security
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Solution Overview
Problem
Current enterprise data security measures are inefficient, expensive, and fail to protect against data breaches due to single iteration encryption processes, lack of continuous encryption, and insufficient real-time security measures, making enterprise data vulnerable to attacks.
Innovation Solution
Implementing a self-auto homomorphic encryption engine in a multi-cloud environment using an elastic hybrid memory cube to continuously encrypt enterprise data, apply multiple encryption rules, and use dynamic public and private key pairs to ensure secure, real-time data access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If single iteration encryption is used, then processing speed is improved, but security reliability deteriorates
Solution Approach 1:
The patent implements continuous multi-iteration encryption where data undergoes multiple encryption cycles with different keys. The encryption process is not a single-pass operation but continues through multiple iterations, ensuring that data remains protected throughout its entire lifecycle in the system, thus resolving the contradiction between processing speed and security reliability.
Solution Approach 2:
The encryption process is segmented into multiple discrete iterations, each using a different encryption key. Data is divided into multiple encryption stages rather than being processed in a single pass, allowing each segment to be secured independently while maintaining overall security throughout the data lifecycle.
2Device complexity
If single authorization method is used, then system complexity is reduced, but security reliability deteriorates
Solution Approach 1:
The authorization system is segmented into multiple independent authorization levels, each governed by its own policy. Rather than relying on a single authorization method, the system divides authorization into discrete layers that can be independently configured and enforced, reducing the risk that a single point of failure compromises overall security.
Solution Approach 2:
The patent adds a temporal dimension to authorization by implementing time-varying access policies. Authorization decisions are not static but change over time based on predefined policies, creating multiple authorization states across different time dimensions. This multi-dimensional approach enhances security reliability without proportionally increasing system complexity.
3Productivity
If data is stored in data pool without immediate processing, then processing efficiency is improved, but security reliability deteriorates
Solution Approach 1:
The system performs preliminary encryption actions on data immediately upon receipt, before data is stored in the data pool. By encrypting data in advance and applying continuous encryption throughout its lifecycle, the system ensures that even when data resides in storage pools for extended periods, it remains protected. This preliminary and continuous security processing prevents security vulnerabilities during storage without compromising processing efficiency.
4Reliability
If continuous multi-key encryption is implemented, then security reliability is improved, but device complexity increases
Solution Approach 1:
The system implements self-service automation in key management and policy enforcement. Automated key rotation, continuous encryption operations, and policy-based access control reduce the need for manual intervention and complex configuration management. The system serves itself by automatically managing the complexity of multi-key encryption without requiring proportionally increased operational complexity from users.
Solution Approach 2:
The patent creates a universal encryption framework that handles multiple encryption keys and authorization policies through a single integrated system. Rather than requiring separate mechanisms for each encryption key or authorization level, the system provides multi-functional capabilities that manage diverse security requirements through unified processes, reducing overall device complexity despite enhanced security requirements.
Data Source
AI summary
Aspects of the disclosure relate to using automatic homomorphic encryption in a multi-cloud environment to support translytical data computation using an elastic hybrid memory cube. A computing platform may receive enterprise data from a data collection engine associated with an enterprise organization. The computing platform may inspect the enterprise data and discard enterprise data that fails to satisfy validation criteria. The computing platform may attach encryption rules to the remaining enterprise data. The computing platform may divide the enterprise data into discrete components and may continuously encrypt each component of the enterprise data using public keys. The computing platform may generate private keys that can be used to access the encrypted enterprise data, and may transmit the private keys to the enterprise organization. The computing platform, upon receipt of a private key from the enterprise organization, may determine whether the private key is authorized to access the encrypted enterprise data.