Abstract
Enforcing jurisdictional policies in global cloud environments can be challenging due to potentially unreliable internet protocol-based geolocation, ad-hoc policy formats that may lead to conflicts, and a potential absence of verifiable audit trails. This disclosure presents a system for verifiable jurisdictional policy enforcement. The system can determine a user's jurisdiction by fusing multiple weighted signals, such as global positioning system and cellular data, to derive a location with an associated confidence level. Regulatory documents may be ingested and transformed into formal rules using natural language processing. A policy engine can then use formal methods, for example, boolean satisfiability, to detect and resolve conflicts between jurisdictional rules. Enforcement decisions can be recorded in a cryptographic, tamper-evident log to provide a verifiable record of compliance actions and potentially improve the accuracy and auditable nature of policy enforcement in distributed infrastructures.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Yue Liu, Mei and Hu, Yi, "Verifiable Jurisdictional Policy Enforcement via Fused Signals and Formal Conflict Resolution", Technical Disclosure Commons, (April 16, 2026)
https://www.tdcommons.org/dpubs_series/9801