.png){kind=icon}
.png){kind=icon}
Return
Fine-Grained Access Control via Policy-Carrying Data
.png){kind=icon}
OA
AI
DOI：10.1145/3133324.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We address the problem of associating access policies with datasets and how to monitor compliance via policy-carrying data. Our contributions arc a formal model in first-order logic inspired by normative multi-agent systems to regulate data access, and a computational model for the validation of specific use cases and the verification of policies against criteria. Existing work on access policy identifies roles as a key enabler, with which we concur, but much of the rest focusses on authentication and authorization technology. multiagent aims to address the normative principles put forward in Berners-Lee's bill of rights for the internet, through human-readable but machine-processable access control policies.
Keywords:
Deontic logic
action language
answer set programming
privacy policy
data sharing
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.1
Papers:
896
Citations:
1.9K