Authority-Bound Governance of Heterogeneous AI Security Decisions in Telecom and IoT Networks
Artificial intelligence (AI)-enabled security decision systems in telecom and IoT networks can draw on heterogeneous models whose outputs may trigger operational actions. Recording such decisions on a blockchain does not establish that they are authorised, applicable, policy-consistent, or still valid at execution time. This paper presents governance-2, an authority-bound and fail-closed architecture that separates upstream scientific decision formation from downstream operational enforcement. Each governed case is bound to registered dataset, model, policy, deployment, and optional refiner authorities. Smart-contract checks enforce role separation, authority compatibility, score-to-state...
| Authors | Saviz Changizi, Nasibeh Mohammadzadeh, Mohammad Shojafar et al. |
|---|---|
| Primary category | cs.CR |
| Published | 10 July 2026 |
| Last updated at source | 5 October 2026 |
Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.