An Innovative Key Management Model for Broadcasting to Remote Cooperative Groups
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
In Mobile Ad Hoc Networks(MANETs), a set of interacting nodes should cooperatively implement the routing functions to enable end-to-end communication along dynamic paths composed by multi-hop wireless links. MANETs have been proposed to serve as an effective networking system facilitating information exchange between mobile devices even without fixed infrastructures. In MANETs, it is important to support group-oriented applications, such as audio/video conference and one-to-many data dissemination in disaster or battlefield rescue scenarios. In the above group oriented communication scenarios, the common problem is to enable a sender to securely transmit secret messages to a remote cooperative group. A solution to the above problem must meet several constraints. First, the sender must be remote and can be dynamic. Second, the message transmission may cross various networks including open insecure networks before reaching the intended recipients. Third, the data communication from the group members to the sender may be limited. Also, the sender may wish to choose only a subset of the overall group as the intended recipients. Furthermore, it is hard to resort to a fully trusted third party to secure the overall communication. In contrast to the above constraints, mitigating features are that the group members are cooperative and the secret communication among them is local and efficient. This paper exploits these mitigating features to facilitate the remote access control of group-oriented communications without relying on a fully trusted secret key generation center.
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 | 0.000 | 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