Enhanced User Security and Privacy Protection in 4G LTE Network
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
Although the Evolved Packet System Authentication and Key Agreement (EPS-AKA) provides security and privacy enhancements in 3rd Generation Partnership Project (3GPP), the International Mobile Subscriber Identity (IMSI) is sent in clear text in order to obtain service. Various efforts to provide security mechanisms to protect this unique private identity have not resulted in methods implemented to protect the disclosure of the IMSI. The exposure of the IMSI brings risk to user privacy, and knowledge of it can lead to several passive and active attacks targeted at specific IMSI's and their respective users. Further, the Temporary Mobile Subscribers Identity (TMSI) generated by the Authentication Center (AuC) have been found to be prone to rainbow and brute force attacks, hence an attacker who gets hold of the TMSI can be able to perform social engineering in tracing the TMSI to the corresponding IMSI of a User Equipment (UE). This paper proposes a change to the EPS-AKA authentication process in 4G Long Term Evolution (LTE) Network by including the use of Public Key Infrastructure (PKI). The change would result in the IMSI never being released in the clear in an untrusted network.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 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