Encrypted Load Balancing Using Public-Key Attestation
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Solution Overview
Problem
Existing machine learning models, such as large language models (LLMs), pose concerns regarding user privacy as they may exploit user data for unauthorized purposes, lack transparency in data processing, and fail to prioritize user consent and accountability.
Innovation Solution
A system that enables secure communication between client devices and server systems using public-key attestations and anonymized tokens, ensuring user privacy by encrypting intermediary data and maintaining immutable system properties through enforcement agents and a transparency log.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If end-to-end encryption is implemented to preserve user privacy, then user secrecy is improved, but device complexity increases due to key management overhead
Solution Approach 1:
A key management service acts as an intermediary between client devices and server systems, managing public key distribution and rotation. The service receives key rotation requests, generates new key pairs, and distributes public keys to relevant parties without requiring clients to directly manage the complexity of cryptographic key infrastructure.
Solution Approach 2:
Client devices automatically perform key pair generation and participate in key rotation processes without manual intervention. The system enables self-service key management where devices can request and receive new public keys autonomously, reducing the operational burden on users while maintaining security.
2Reliability
If public key attestation is implemented to verify server identity, then security is improved, but communication overhead increases
Solution Approach 1:
Public key attestations are obtained and cached in advance before actual communication occurs. The system proactively retrieves server public keys and their attestations, storing them locally so that subsequent communications can proceed without repeated authentication handshakes, reducing real-time overhead.
Solution Approach 2:
The system creates and distributes copies of public key attestations to multiple parties in advance. Instead of requiring real-time verification of server identity during each communication, pre-copied attestations are stored and reused, eliminating repeated authentication delays while maintaining security verification.
3Reliability
If key rotation is implemented to enhance security, then system security is improved, but productivity decreases due to additional communication rounds
Solution Approach 1:
Key rotation is initiated and completed in advance before it becomes necessary for security purposes. The system proactively rotates keys on a scheduled basis or before anticipated security threats, so that when key rotation is needed, the process has already been completed, avoiding interruptions to normal request processing.
Solution Approach 2:
The system implements periodic key rotation at predetermined intervals independent of individual request flows. This scheduled approach allows key rotation to occur during low-traffic periods or in batch operations, minimizing the impact on request processing throughput while maintaining continuous security improvements.
Data Source
AI summary
Techniques are disclosed relating to load balancing across server systems that communicate using end-to-end encryption. In various embodiments, a load balancer receives a first request from a client device to access one of a plurality of server systems providing a resource and communicating using end-to-end encryption. The load balancer provides, to the client device, a first set of public-key attestations for a first subset of the plurality of server systems. A given one of the public-key attestations includes a public key of one of the first subset of server systems. The load balancer receives, from the client device, a second request to use the resource, the second request being encrypted using the attested-to public keys of the first subset of server systems. The load balancer distributes the second request to, at least, one of the first subset of server systems.