ASTP: Agent-Based Secure and Trustworthy Packet-Forwarding Protocol for eHealth
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.
Bibliographic record
Abstract
Security has been recognized as a key issue for the expansion of eHealth application, where highly sensitive patient's medical data are routed through a non-secure wireless network. In this paper, we look into the various security and privacy requirements for the eHealth application and propose an agent-based secure and trustworthy packet-forwarding Protocol (ASTP) considering the neighbor nodes previous and recent activities. ASTP incorporated with proper security tools that enhanced the overall performance of a cooperative multi-hop wireless network used for an eHealth application. The proposed protocol can successfully detects malicious nodes and the information is used and shared to the neighbors to avoid co-operating with them either for data forwarding, aggregation or any other cooperative function. Patient privacy is maintained by using an renewable pseudo-identity. Finally, security analysis and experimental results demonstrate that ASTP improves the average packet delivery ratio and maintains the require security and privacy at the cost of an acceptable communication delay.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it