Private Memory Isolation for Encryption-Free Confidentiality
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Solution Overview
Problem
Conventional encryption-based confidentiality mechanisms in computer systems, particularly for processing-in-memory technologies, introduce overhead and reduce memory capacity, especially for machine-learning workloads, due to the need for per-application key management and encryption operations on the critical path.
Innovation Solution
Implement isolation-based confidentiality techniques using trusted memory modules that provide data confidentiality through hardware-enforced isolation and scrubbing, eliminating the need for full memory encryption by utilizing private memory regions and compute units to accelerate memory scrub operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If encryption-based confidentiality mechanisms are used, then data security is improved, but memory overhead and processing overhead increase
Solution Approach 1:
The patent extracts the confidentiality mechanism from traditional encryption and relocates it to hardware-based isolation at the memory controller level. This separates the security function from the data storage function, allowing data to be stored in plaintext while maintaining confidentiality through hardware-enforced access control, thereby eliminating encryption overhead and preserving full memory capacity.
Solution Approach 2:
The patent introduces a hardware isolation mechanism as an intermediary between the processor and memory, implemented through isolated execution environments (IEEs) and private memory regions. This intermediary layer enforces confidentiality without requiring encryption of the stored data, thus maintaining memory capacity while providing security.
2Reliability
If encryption-based confidentiality mechanisms are used, then data security is improved, but processing speed decreases
Solution Approach 1:
The patent removes encryption operations from the critical processing path by implementing confidentiality at the memory access level through hardware isolation. Data remains in plaintext throughout processing, eliminating the need for encryption/decryption operations and their associated performance overhead, while security is maintained through hardware-enforced access control.
Solution Approach 2:
The patent establishes hardware isolation and private memory region assignments before data processing begins. The memory controller is configured with isolation policies in advance, allowing data to be accessed and processed immediately without real-time encryption overhead, thus maintaining processing speed while ensuring security.
3Reliability
If per-application key management is implemented, then data security is improved, but system complexity increases
Solution Approach 1:
The patent replaces per-application key management with a universal hardware isolation mechanism that provides security for all applications through a common framework. The memory controller implements isolation policies for multiple applications simultaneously using a single security infrastructure, eliminating the need for individual key provisioning and management for each application.
Solution Approach 2:
The hardware isolation mechanism automatically manages confidentiality without requiring application-level key management. The memory controller autonomously enforces access policies based on private memory region assignments, eliminating the need for applications to provision, manage, or protect cryptographic keys, thus reducing system complexity.
Data Source
AI summary
Systems and techniques for isolation-based confidentiality are described. In one example, a processor is communicatively coupled to memory accessible by multiple applications. The processor requests a private memory region in the memory for data of a first application of the multiple applications. The processor causes the data of the first application to be stored in the private memory region without encryption (e.g., in an unencrypted format). The data in the private memory region is not accessible by the other applications of the processor or other processors. In this way, confidentiality is provided for sensitive data without the overhead required of traditional encryption techniques.


