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Record W2140327713 · doi:10.1145/1815396.1815666

Securing RDS broadcast messages for smart grid applications

2010· article· en· W2140327713 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsCarleton University
Fundersnot available
KeywordsElliptic Curve Digital Signature AlgorithmComputer scienceDigital signatureComputer networkAuthentication (law)CryptographyOverhead (engineering)Bandwidth (computing)WirelessMessage authentication codeElliptic curve cryptographyPublic-key cryptographyComputer securityTelecommunicationsHash functionEncryption

Abstract

fetched live from OpenAlex

Efforts to reduce peak electrical demand has led to the introduction of demand response (DR) programs for residences. The RDS network is a strong candidate for delivering DR messages due to its low-cost nature and ubiquitous coverage. However, security concerns arise due to the wireless nature of the communication channel. We present evaluations of cryptographic methods that could be employed to offer source authentication over the RDS network. Simulations are used to determine the impact on the network performance by employing three digital signature protocols (BiBa, HORSE, and ECDSA). The simulation results show that, up to a distance of 90 km, all authentication schemes do not affect message reception by the receivers. ECDSA and HORSE outperform BiBa in terms of message reception beyond 90 km. ECDSA offers higher security than HORSE and BiBa but at the cost of increased computational complexity, in particular at the receivers. In addition, ECDSA has the highest bandwidth overhead.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.803
Threshold uncertainty score0.345

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 integrity0.0000.000
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 head0.004
GPT teacher head0.222
Teacher spread0.219 · 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

Quick stats

Citations14
Published2010
Admission routes1
Has abstractyes

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