Key Revocation for Identity-Based Schemes in Mobile Ad Hoc Networks
Bibliographic record
Abstract
Abstract. Recently, identity-based cryptographic (IBC) schemes have been considered to secure mobile ad hoc networks (MANETs) due to their efficient key management properties. However, proposed schemes do not provide mechanisms for key revocation and key renewal. In this paper, we propose the first key revocation and key renewal mechanisms for IBC schemes that are especially designed for MANETs. In our fully self-organized revocation scheme, each node monitors nodes in communication range and securely propagates its observations. The public key of a node is revoked if a minimum number of nodes accused the node. To enable key renewal, we introduce a modified format for ID-based public keys, such that new keys can be issued for the same identity. The introduced revocation scheme is efficient because it uses pre-shared keys from the Weil pairing to secure accusation and revocation messages and messages are sent to an m-hop neighborhood instead of to the entire network. Our revocation mechanism can be adapted to PKI schemes in MANETs. 1
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".