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Modeling and Security Analysis of IEEE 802.1AS Using Hierarchical Colored Petri Nets

2020· article· en· W3130232093 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
FieldComputer Science
TopicNetwork Time Synchronization Technologies
Canadian institutionsToronto Metropolitan University
FundersNational Key Research and Development Program of China
KeywordsComputer scienceIEEE 802Computer networkSecurity analysisProtocol (science)IEEE 802.1XPetri netIEEE 802.11w-2009State spaceDistributed computingIEEE 802.11ThroughputComputer securityQuality of serviceTelecommunications

Abstract

fetched live from OpenAlex

In recent decades, much attention has been paid to timely and guaranteed delivery in industrial automation networks. Toward this aim, the IEEE 802.1 Time-Sensitive Networking (TSN) task group has developed a series of standards. IEEE 802.1AS Timing and Synchronization protocol is the basis for TSN flow control mechanisms. As a rather new protocol, modeling and security analysis is a highly attractive candidate for developing IEEE 802.1AS. In this paper, we model the IEEE 802.1AS using Hierarchical Colored Petri Nets (HCPNs) and verify the proposed model by state space analysis and synchronization performance analysis. On the basis of our model, the security of the protocol is analyzed, including attack and defense against IEEE 802.1AS. Simulation results verify the validity and practicability of the model.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.613
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
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 head0.030
GPT teacher head0.256
Teacher spread0.226 · 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