CephArmor: A Lightweight Cryptographic Interface for Secure High-Performance Ceph Storage Systems
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
Clustered storage systems are dominant solutions in modern-day data production. Ceph represents a sustainable clustered storage solution, supporting object, block, and file storage capabilities, with no single point of failure. Despite the strong management abilities, security remains a serious concern in the Ceph storage system. To date, authentication and access control are the only supported security protocols in the system. Data confidentiality will be undermined if a malicious insider or outside intruder accesses to storage devices. This study proposes a lightweight cryptographic-based interface, CephArmor, for a Ceph storage system to ensure data confidentiality in storage. The proposed method has been integrated into the stable Ceph version, Pacific, and evaluated through 45Drives Storinator servers, a commercial hardware commodity for storage solutions in real-world scenarios. The experimental results denote a nuanced overhead in terms of elapsed time, throughput, average operations per second, and latency on a write operation. While the read operations illustrated near zero performance overhead.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.006 | 0.002 |
| 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