Toward scaling hardware security module for emerging cloud services
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The hardware security module (HSM) has been used as a root of trust for various key management services. At the same time, rapid innovation in emerging industries, such as container-based microservices, accelerates demands for scaling security services. However, current on-premises HSMs have limitations to afford such demands due to the restricted scalability and high price of deployment. This paper presents ScaleTrust, a framework for scaling security services by utilizing HSMs with SGX-based key management service (KMS) in a collaborative, yet secure manner. Based on a hierarchical model, we design a cryptographic workload distribution between HSMs and KMS enclaves to achieve both the elasticity of cloud software and the hardware-based security of HSM appliances. We demonstrate practical implications of ScaleTrust using two case studies that require secure cryptographic operations with low latency and high scalability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it