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Record W2794116586 · doi:10.1109/tc.2018.2811467

Towards a Cryptographic Minimal Design: The sLiSCP Family of Permutations

2018· article· en· W2794116586 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Computers · 2018
Typearticle
Languageen
FieldComputer Science
TopicCryptographic Implementations and Security
Canadian institutionsUniversity of Waterloo
FundersNational Institute of Standards and Technology
KeywordsComputer scienceCryptographyCryptographic primitiveSymmetric-key algorithmEncryptionTheoretical computer scienceOverhead (engineering)Pseudorandom number generatorHash functionCryptographic protocolAlgorithmPublic-key cryptographyComputer networkComputer security

Abstract

fetched live from OpenAlex

The security of highly resource constrained applications is often viewed in the literature from a single aspect of a specific cryptographic primitive. More precisely, most of the proposed lightweight cryptographic primitives focus on providing a single functionality within the available hardware area dedicated for security purposes. In this paper, we argue that for such applications, a cryptographic primitive that follows the cryptographic minimal design strategy maybe the only realistically adopted security solution where there is a constrained GE budget for all security functionalities. Indeed, it is reasonable, if not desirable, for the adopted cryptographic design to have well justified building components and to provide minimal overhead for multiple cryptographic functionalities including encryption, hashing, authentication, and pseudorandom bit generation. Following such a strategy, we propose the sLiSCP family of lightweight cryptographic permutations which employs two of the most hardware efficient and extensively cryptanalyzed constructions, namely a 4-subblock Type-2 Generalized Feistel-like Structure (GFS) and round-reduced unkeyed Simeck. In addition to the hardware efficiency, we follow restrictive security design goals which enable us to provide resistance against differential and linear cryptanalysis, as well as guaranteed resistance to diffusion-based, algebraic, and self-symmetry distinguishers, and accordingly, we claim that there exist no structural distinguishers for sLiSCP-b with a complexity below 2b=2 where b is the state size. Moreover, we present the sLiSCP duplex sponge mode to illustrate how the permutations can be used in a unified design that provides (authenticated) encryption, hashing, and pseudorandom bit generation functionalities. Finally, we report two efficient parallel hardware implementations for the sLiSCP unified duplex sponge mode when using sLiSCP-192 (resp. sLiSCP-256) in CMOS 65 nm ASIC with area of 2289 (resp. 3039) GE and a throughput of 29.62 (resp. 44.44) kbps, and their areas in CMOS 130 nm are 2498 (resp. 3319) GE.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.285
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it