<scp>S</scp> L <scp>I</scp> SCP-light
Bibliographic record
Abstract
The emerging areas in which highly resource constrained devices are interacting wirelessly to accomplish tasks have led manufacturers to embed communication systems in them. Tiny low-end devices such as sensor networks nodes and Radio Frequency Identification (RFID) tags are of particular importance due to their vulnerability to security attacks, which makes protecting their communication privacy and authenticity an essential matter. In this work, we present a lightweight do-it-all cryptographic design that offers the basic underlying functionalities to secure embedded communication systems in tiny devices. Specifically, we revisit the design approach of the sLiSCP family of lightweight cryptographic permutations, which was proposed in SAC 2017. sLiSCP is designed to be used in a unified duplex sponge construction to provide minimal overhead for multiple cryptographic functionalities within one hardware design. The design of sLiSCP follows a 4-subblock Type-2 Generalized Feistel-like Structure (GFS) with unkeyed round-reduced Simeck as the round function, which are extremely efficient building blocks in terms of their hardware area requirements. In S L I SCP-light, we tweak the GFS design and turn it into an elegant Partial Substitution-Permutation Network construction, which further reduces the hardware areas of the S L I SCP permutations by around 16% of their original values. The new design also enhances the bit diffusion and algebraic properties of the permutations and enables us to reduce the number of steps, thus achieving a better throughput in both the hashing and authentication modes. We perform a thorough security analysis of the new design with respect to its diffusion, differential and linear, and algebraic properties. For S L I SCP-light-192, we report parallel implementation hardware areas of 1,820 (respectively, 1,892)GE in CMOS 65 nm (respectively, 130 nm ) ASIC. The areas for S L I SCP-light-256 are 2,397 and 2,500GE in CMOS 65 nm and 130 nm ASIC, respectively. Overall, the unified duplex sponge mode of S L I SCP-light-192, which provides (authenticated) encryption and hashing functionalities, satisfies the area (1,958GE), power (3.97μ W ), and throughput (44.4kbps) requirements of passive RFID tags.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.109 | 0.053 |
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".