OpenID Connect 1.0 is a simple identity layer on top of the OAuth 2.0 protocol. It enables Clients to verify the identity of the End-User based on the authentication performed by an Authorization Server, as well as to obtain basic profile information about the End-User in an interoperable and REST-like manner.
This document defines a mechanism for a Relying Party to request that an OpenID…
OpenID Connect 1.0 is a simple identity layer on top of the OAuth 2.0 protocol. It enables Clients to verify the identity of the End-User based on the authentication performed by an Authorization Server, as well as to obtain basic profile information about the End-User in an interoperable and REST-like manner.
This document defines how an OpenID Connect Relying Party can dynamically register…
Information technology — OpenID connect — OpenID connect core 1.0 incorporating errata set 2
OpenID Connect 1.0 is a simple identity layer on top of the OAuth 2.0 protocol. It enables Clients to verify the identity of the End-User based on the authentication performed by an Authorization Server, as well as to obtain basic profile information about the End-User in an interoperable and REST-like manner.
This document defines the core OpenID Connect functionality: authentication built on…
Information technology — OpenID connect — OpenID connect discovery 1.0 incorporating errata set 2
OpenID Connect 1.0 is a simple identity layer on top of the OAuth 2.0 protocol. It enables Clients to verify the identity of the End-User based on the authentication performed by an Authorization Server, as well as to obtain basic profile information about the End-User in an interoperable and REST-like manner.
This document defines a mechanism for an OpenID Connect Relying Party to discover the…
Information technology — Process assessment — Application of ISO/IEC TS 33073 processes to the ISO/I...
This document provides a specification for associating the processes of ISO/IEC TS 33073 with the process attribute outcomes of ISO/IEC 33020 with the intent of demonstrating support for levels 1 to 3 of the process capability measurement scale defined in ISO/IEC 33020.
Information technology — Process assessment — Application of ISO/IEC/IEEE 12207 processes to the ISO...
This document provides a specification for associating the life cycle processes of ISO/IEC/IEEE 12207 with the process attribute outcomes of ISO/IEC 33020 with the intent of demonstrating support for levels 1 to 3 of the process capability measurement scale defined in ISO/IEC 33020.
Corrosion of metals and alloys — Wiping method for measurements of gases and particles on real struc...
This document specifies a method for evaluating depositions on real structures and equipment by wiping. Depositions become corrosion and/or degradation factors for metals, alloys and organic materials, and can be analysed quantitatively to control the corrosion and degradation of real structures and equipment.
The method specified in this document is suitable for evaluating the type and amounts…
1 Scope
1.1 Inclusions
This Code specifies minimum requirements for the design, construction, installation, operation, inspection, testing, alteration, and maintenance of permanently installed manlifts for the vertical or inclined vertical transportation of authorized personnel and, where authorized, their tools and equipment. Such manlifts are typically installed in grain elevators, radio…
Information technology - Biometric sample quality - Part 4: Finger image data
ISO/IEC 29794-4:2017 establishes
- terms and definitions for quantifying finger image quality,
- methods used to quantify the quality of finger images, and
- standardized encoding of finger image quality,
for finger images at 196,85 px/cm spatial sampling rate scanned or captured using optical sensors with capture dimension (width, height) of at least 1,27 cm × 1,651 cm.
Information technology — Biometric sample quality — Part 4: Finger image data
ISO/IEC 29794-4:2017 establishes
- terms and definitions for quantifying finger image quality,
- methods used to quantify the quality of finger images, and
- standardized encoding of finger image quality,
for finger images at 196,85 px/cm spatial sampling rate scanned or captured using optical sensors with capture dimension (width, height) of at least 1,27 cm × 1,651 cm.