Encrypted Multi-Map Architecture for Concurrent End-to-End Queries
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Solution Overview
Problem
Implementing end-to-end encryption in data management systems poses challenges such as data leakage opportunities due to adversarial models and the need for secure data handling across multiple clients and concurrent operations, while maintaining resilience to client failures and server crashes.
Innovation Solution
A system employing encrypted multi-map data structures and encryption schemes that support snapshot security, multiple client support, efficient concurrent operations, and resilience to client failures, using lightweight clients and scalable architecture, with features like snapshot security, efficient search, updates, and deletes, and expressive queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If end-to-end encryption is implemented in data management systems, then data security is improved, but data leakage opportunities increase due to adversarial models
Solution Approach 1:
The patent segments the encryption system into multiple components: encrypted multi-map data structures for storing encrypted data, separate encryption keys for different clients, and distinct read/write/delete operations. This segmentation allows each component to be optimized for security while maintaining functionality, reducing data leakage opportunities by isolating access paths.
Solution Approach 2:
The patent introduces encrypted multi-map data structures as intermediaries between the client and the underlying storage system. These data structures act as a secure layer that prevents direct access to plaintext data, thereby reducing data leakage opportunities while maintaining end-to-end encryption security.
2Adaptability or versatility
If end-to-end encryption is implemented with multiple client support, then system versatility is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal encrypted multi-map data structure that serves multiple clients simultaneously. The system uses a common encryption scheme that can handle different client keys and operations, allowing one data structure to perform multiple functions for different clients, thereby supporting versatility without proportionally increasing complexity.
Solution Approach 2:
The patent manages multiple clients by changing cryptographic parameters (different encryption keys) rather than creating separate data structures for each client. This approach allows the system to support multiple clients while maintaining a unified data structure, reducing overall system complexity.
3Productivity
If end-to-end encryption is implemented with concurrent operation support, then productivity is improved, but reliability challenges arise due to client failures and server crashes
Solution Approach 1:
The patent implements snapshot security that creates previous versions of the encrypted data before modifications. This cushioning mechanism allows the system to recover from client failures or server crashes by restoring from snapshots, thereby maintaining reliability while supporting concurrent operations.
Solution Approach 2:
The patent uses encrypted metadata to track the state of the encrypted multi-map data structures. This feedback mechanism allows the system to detect and handle concurrent modifications, client failures, and server crashes by monitoring state changes and coordinating operations across multiple clients, maintaining both productivity and reliability.
Data Source
AI summary
According to some aspects, provided are systems and methods that implement end-to-end encryption, and provide implementation configured to secure information during execution of queries on an encrypted data source. Various embodiments include multiple encrypted multi-map data structures and associated encryption schemes configured to securely read, write, and delete information while supporting any one or more of the following features: snapshot security, multiple client support, efficient execution under concurrent operation, and resilience to client failures. In various embodiments, addressable multi-map data structures enable concurrent access, and allow correct operation under polynomial time constraints.


