Multi User Security of LightMAC and LightMAC_Plus
Bibliographic record
Abstract
LightMAC is one of the ISO/IEC standardized message authentication codes that provably achieves security roughly in the order of O(q^2/2^n), where q is the total number of queries and n is the block size of the underlying block cipher. In a subsequent work, Naito proposed a beyond-birthday-bound variant of the LightMAC construction, dubbed LightMAC_Plus, and demonstrated that it achieves 2n/3-bit PRF security. Later in EUROCRYPT'20, Kim et al. improved the security bound of LighMAC_Plus from 2n/3 bits to 3n/4 bits. However, all these security results have been proven in the single-user setting, where we assume that the adversary has access to a single instance of the construction. In this paper, we investigate, for the first time, the security of the LightMAC and the LightMAC_Plus constructions in the context of the multi-user setting, where we assume that the adversary has access to more than one instance of the construction. In particular, we have shown that LightMAC offers O(qq_maxl k/2^n + up/2^k) multi-user PRF security, where q denotes the total number of construction queries, p denotes the total number of offline primitive queries, q_max denotes the maximum number of queries per user, u denotes the total number of users and l denotes the maximum number of message blocks in a query. We have also shown that LightMAC_Plus maintains security up to approximately 2^2n/3 construction queries and 2^2k/3 ideal-cipher queries in the ideal-cipher model, where n denotes the block size and k denotes the key size of the block cipher.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".