Scalable Consent is an initiative to develop a framework, and working code, in support of effective and informed end-user consent and attribute release at Internet scale. The work supports fine-grained, revocable, informed, and well managed consent services that will allow both user and organization to control the release of their attributes to relying parties throughout an identity ecosystem. The development was catalyzed by an NSTIC grant from NIST, and is being enhanced and maintained by the TIER activity within Internet2.
The deliverables include:
- an architectural model and APIs associated with each flow and component within the model. The hub of the model is a Consent-informed Attribute Release Manager (CARMA) that interacts with the UI and integrates individual and institutional attribute release preferences.
- working code, both as a standalone service and embedded within a Shibboleth IdP, that implements scalable consent and attribute release across a variety of protocols, including SAML, OIDC, OAuth, etc.
- a next-gen UI that allows the user to manage their attribute releases in an informed and effective manner
- API's and sample connectors that deliver the information for informed consent - services such as RP identification, minimal and optional attributes, information dialogues, histories of prior and similar releases, etc.
- enterprise management services to help an organization deploy and management attribute release that integrates both end-user and institutional policies.
- planning documents, discussion materials, and inter-institutional communications to facilitate deployments
The work is intended to help foster an open and interoperable identity ecosystem. Goals include consent that is usable and privacy preserving, improved support for accessibility, and fostering identity portability. All the specifications and code are open-source.