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Record W212305291 · doi:10.21236/ada482302

Evaluation of Identity Based Encryption (IBE) Capabilities for the US DHS S&T Secure Wireless Communications Program and the CAN-US Security Enhanced Blackberry Trial

2007· report· en· W212305291 on OpenAlexaboutno aff
M. Schertler

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsnot available
Fundersnot available
KeywordsEncryptionWirelessComputer scienceIdentity (music)Computer securityTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

The U.S. Department of Homeland Security (DHS) Science and Technology (S&T) Directorate's Cyberspace Security Research and Development program initiated a Secure Wireless Data Communications Program with the goal of evaluating wireless communications for securely delivering information where and when needed to assist the mission of the Department of Homeland Security. To achieve this goal the DHS S&T Directorate engaged with commercial industry to develop and evaluate solutions against the program's objectives. Voltage Security, Inc. partnered with DHS S&T to provide secure communication solutions based on the Identity Based Encryption (IBE) public key technology for the program. As part of the Secure Wireless Data Communications Program and under the direction of the Canada-U.S. Public Security Technical Program (PSTP) DHS S&T engaged in a collaborative exercise with Defence R&D Canada (DRDC). This exercise was called the CAN-US Security Enhanced Blackberry Trial. The Blackberry Trial's focus was on commercial technologies that can be used to secure the existing commercial wireless infrastructure for the use of the public safety, emergency preparedness, and law enforcement communities. The Blackberry Trial focused on the RIM Blackberry device because of its wide acceptance across all levels of government and in commercial industry. This exercise evaluated security technologies that overlay the commercial infrastructure and gave a frank and objective assessment of their usefulness in the target environment.

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)0.019
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.058
GPT teacher head0.355
Teacher spread0.297 · 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 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
Published2007
Admission routes1
Has abstractyes

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