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
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".