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Record W4231727264 · doi:10.32920/ryerson.14647833.v1

RFID security protocols simulation and prototyping

2021· preprint· en· W4231727264 on OpenAlexaff
Xiaohui Yu

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputer scienceProtocol (science)SystemCCryptographic protocolKey (lock)Field-programmable gate arrayRadio-frequency identificationEncryptionIdentification (biology)Computer securityAuthentication (law)Threat modelSecurity analysisEmbedded systemAuthentication protocolSymmetric-key algorithmComputer networkCryptographyPublic-key cryptography

Abstract

fetched live from OpenAlex

As Radio Frequency Identification (RFID) technology achieves commercial success, its privacy and security issues are becoming a barrier to limit its potential for future start of the art applications. In this report, we present an investigation of the past and current research related to RFID security algorithms and protocols for product authentication. We also present a novel RFID security protocol based on eXtended Tiny Encryption Algorithm (XTEA). Analysis of the security and privacy level of our proposed protocol is performed using SystemC based modeling and different attack models are simulated to show that the protocol is robust and safe against application, protoypes of these attack models are implemented on FPGA platform. We also compare our proposed protocol technique with similar protocols presented in the near past that also use symmetric key algorithms to verify and demostrate main advantages of our protocol in terms of security and performance.

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.

How this classification was reachedexpand

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.314
Teacher spread0.292 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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