A security architecture and design for mobile intelligent agent systems
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
Although mobile intelligent agent technology greatly promises to provide an elegant and efficient way of solving complex distributed problems as well as offering a new approach to human-computer-interaction, the general lack of security measures in existing mobile intelligent agent systems severely restricts their scope of applicability. In this paper, we focus on the security design issues for mobile intelligent systems. We propose a security architecture and implement a security system based on the architecture for a novel mobile intelligent system, Actigen. This security system makes use of a rich security model that provides an identification capability to each principal and supports system resource access control to a very fine level of granularity. The security system also offers some methods to detect if the behavior or data of an Actigen agent is tampered. Although the security architecture was developed for Actigen, its applicability can be generally suited to any mobile intelligent systems.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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