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Firebase's first product was the Firebase Realtime Database, an API that synchronizes application data across iOS, Android, and Web devices, and stores it on Firebase's cloud. The product assists software developers in building real-time, collaborative applications.
Firebase Cloud Messaging (FCM) is part of the Firebase platform, which is a cloud service model that automates backend development or a Backend-as-a-service (BaaS). After the Firebase company was acquired by Google in 2014, some Firebase platform products or technologies were integrated with Google’s existing services.
User-Managed Access adds three main concepts and corresponding structures and flows: Protection API UMA defines a standardized Protection API for the authorization servers with which resource servers communicate about data security. This API enables multiple resource servers to communicate with one authorization server and vice versa.
OAuth (short for open authorization [1] [2]) is an open standard for access delegation, commonly used as a way for internet users to grant websites or applications access to their information on other websites but without giving them the passwords.
In some related but distinct contexts, the term AAA has been used to refer to protocol-specific information. For example, Diameter uses the URI scheme AAA, which also stands for "Authentication, Authorization and Accounting", as well as the Diameter-based Protocol AAAS, which stands for "Authentication, Authorization and Accounting with Secure Transport". [4]
Security Assertion Markup Language (SAML, pronounced SAM-el, / ˈ s æ m əl /) [1] is an open standard for exchanging authentication and authorization data between parties, in particular, between an identity provider and a service provider.
JSON Web Token (JWT, suggested pronunciation / dʒ ɒ t /, same as the word "jot" [1]) is a proposed Internet standard for creating data with optional signature and/or optional encryption whose payload holds JSON that asserts some number of claims. The tokens are signed either using a private secret or a public/private key.
Healthcare: Embedding techniques have been applied to electronic health records, medical imaging, and genomic data for disease prediction, diagnosis, and treatment. Social Systems: Embedding techniques can be used to learn latent representations of social systems such as internal migration systems, [ 8 ] academic citation networks, [ 9 ] and ...