GSM OTA SIM Cloning Attack and Cloning Resistance in EAP-SIM and USIM
Bibliographic record
Abstract
Global System for Mobile communications (GSM) is the most popular telecommunication protocol used in telecommunication networks. The GSM protocol has weaknesses in the security of its unique identifiers which makes possible cloning in various circumstances. This paper will show, by comparison with physical cloning attacks, how an attacker can perform SIM (Subscriber Identity Module) cloning over the air by exploiting weaknesses in standard GSM communication. This paper will describe the requirements and process of over the air (OTA) cloning, including the process of obtaining the ICCID (Integrated Circuit Card Identifier). In addition, this paper will show how EAP-SIM (Extensible Authentication Protocol for GSM SIM) and USIM (Universal Subscriber Identity Module) are more secure from cloning than GSM, and under what circumstances they remain vulnerable to cloning. As a base for comparison this paper will also describe physical cloning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".