A Blockchain-Based Approach for USIM Management in Mobile Networks
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
Universal Subscriber Identity Module (USIM) is an essential part of the mobile network mainly for providing identification and authentication of the subscriber. The activation and deactivation of USIMs are the two most critical services that must be supported by Mobile Network Operators (MNOs). The current solutions suffer from several limitations such as the lack of round-the-clock services and the presence of a single point of failure. In this paper, we propose a blockchain-based scheme for USIM management. Each MNO creates its own smart contract and publishes its address to subscribers. Subscribers can then directly submit their requests by registering a transaction that invokes a specific function of the smart contract. The proposed scheme provides an anytime-anywhere service while at the same time it leverages the benefits of blockchain technology, such as a decentralized architecture that prevents Denial-of-Service (DoS) attacks, as well as a secure auditable log and payment using cryptocurrency. Moreover, we provide a security proof for the scheme through formal verification. Our results demonstrate that our scheme ensures subscriber privacy while providing mutual authentication among participants. Finally, our evaluation on the Ethereum blockchain confirms the efficiency of the scheme in terms of both transaction and execution costs.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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