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Record W2006187537 · doi:10.1109/glocomw.2007.4437787

Threats and Vulnerabilities of Next Generation Satellite Personal Communications Systems: A Defence Perspective

2007· article· en· W2006187537 on OpenAlexaff
Jean-Francois Beaumont, Gilles Doucet

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsComputer scienceTelecommunicationsHandsetPersonal Communications ServiceComputer securityCommunications satelliteMilitary communicationsWireless networkBandwidth (computing)Network packetWirelessComputer networkCommunications systemEngineeringSatelliteWi-Fi array

Abstract

fetched live from OpenAlex

The Fourth Generation (4G) of wireless communications systems is coming, combining voice and data on a single packet-based all-IP core network, with bandwidth providing data rates in the range of a few to hundreds of MB/s. This new high-speed data network, combined with the latest technology developments, should enable the advent of a multitude of new multimedia applications, which will be available to the user on his own handset. Following the wireless Personal Communications Systems (PCS) trend, Satellite Personal Communications Systems (SPCS) are also expected to provide multimedia applications on this integrated network. However, as this new technology is rolled-out, it is also expected that it will come with its own set of vulnerabilities that could potentially constitute a threat to network reliability and secure communications. Because of its numerous advantages, SPCS is known to be used for security and defence applications by military and paramilitary forces around the world. From a defence perspective, it is therefore imperative to address this potential emerging threat.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.117
GPT teacher head0.306
Teacher spread0.189 · 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 designTheoretical or conceptual
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

Citations3
Published2007
Admission routes1
Has abstractyes

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