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Record W4321506473 · doi:10.1049/pbse018e_ch12

Physical layer security in non-terrestrial networks

2022· book-chapter· en· W4321506473 on OpenAlexaff
Olfa Ben Yahia, Eylem Erdoğan, Güneş Karabulut Kurt

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsEavesdroppingPhysical layerSecrecyComputer scienceComputer networkWirelessTelecommunications linkComputer securityTelecommunications

Abstract

fetched live from OpenAlex

In this chapter, we have presented the secrecy performance of NTN systems from a physical layer aspect. First, RF eavesdropping on the ground for dual-hop HAPS-aided downlink SatCom was covered. After that, we presented the PLS for NTN systems by covering three distinct FSO eavesdropping scenarios; HAPS eavesdropping, UAV eavesdropping, and satellite eavesdropping. The obtained results showed that the signal fluctuations caused by atmospheric conditions have a direct impact on the secrecy 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score1.000

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)0.0010.000

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 head0.028
GPT teacher head0.248
Teacher spread0.220 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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