Standard

 This document groups use cases for Energy Efficiency Management of network devices.

This document defines a reference architecture for DLT-based decentralized identity systems. This includes: - The lifecycle management of digital identities and associated attributes and credentials in a decentralized identity system including migration of individual digital identities into another system - The lifecycle management of the relevant actors and entities, including digital wallets, within a decentralized identity system - The use of trust anchors through a decentralized identity system - The entire lifecycle management of the decentralized identity system

For security evaluation of biometric verification systems and biometric identification systems, this document is dedicated to security evaluation of presentation attack detection applying the ISO/IEC 15408 series. It provides recommendations and requirements to the developer and the evaluator for the supplementary activities on presentation attack detection specified in ISO/IEC 19989-1.

This document is applicable only to TOEs for single biometric characteristic type but for the selection of a characteristic from multiple characteristics.

For security evaluation of biometric recognition performance and presentation attack detection for biometric verification systems and biometric identification systems, this document specifies:

—    extended security functional components to SFR Classes in ISO/IEC 15408-2;

—    evaluation activities to methodology specified in ISO/IEC 18045 for SAR Classes of ISO/IEC 15408-3.

This document introduces the general framework for the security evaluation of biometric systems, including extended security functional components, and evaluation activities to methodology, which is additional activities and guidance/recommendations for an evaluator to handle those activities. The evaluation activities are developed in this document while the detailed recommendations are developed in ISO/IEC 19989-2 (for biometric recognition performance aspects) and in ISO/IEC 19989-3 (for presentation attack detection aspects). This document is applicable only to TOEs for single biometric characteristic type. However, the selection of a characteristic from multiple characteristics in SFRs is allowed.

This document establishes considerations for analysing, comparing or differentiating the characteristics of age assurance systems or components.

The document includes metrics, elements, and indicators of effectiveness for age-assurance systems or components.

This document includes guidance for considering the characteristics of various approaches and for making trade-offs when selecting approaches for different users, actors and use cases. The document describes different technical approaches suitable in different ecosystems for the implementation of age assurance systems or of age assurance components.

This document defines minimum specific elements required for BIM process with new lifts. It does not define the BIM process itself. This document specifies a minimum set of information for lifts following the structure of ISO 7817-1, for the purpose of building planning during pre-design stage, schematic design stage and detailed design stage of a building. It covers the geometrical information and the alphanumerical information.

NOTE: The BIM processes are defined in ISO/TC 59/SC 13 standards.

This document does not cover requirements during other stages (information delivery milestones) and the documentation.

This document does not cover definition of actors, which are project specific.

The definitions are for a single lift. This document does not describe the structures required for multiple lifts in the same building.

This document describes the information of a lift and its interfaces to the building which are relevant for the planning of the building. The structural forces are out of the scope of this document.

This document is not applicable to lifts, which are installed before the date of its publication.

This document specifies the requirements and provides guidance for the definition, implementation and maintenance of a quality management system for organizations that provide AI systems. This document is intended to support the organization in meeting applicable regulatory requirements. It is primarily intended for organizations placing on the market or putting into service high-risk AI systems and is not specific to any particular sector.

Artificial Intelligence conformity assessment serves the purpose of providing notice and assurance to stakeholders about conformity against stated requirements. It maps the conformity assessment activities to the different phases of the AI system life cycle. This document provides procedures and processes for conformity assessment activities related to AI systems. The intended audience for this document is primarily conformity assessment scheme developers, owners and operators that evaluate, test, assess and certify AI systems. It is also useful for organizations and people that are not scheme owners or operators, such as AI system stakeholders including AI system developers, providers, customers, partners and regulatory authorities.

This document provides methodology for the use of statistical methods to assess robustness properties of neural networks. The document focuses on how to select, apply and manage statistical methods to assess robustness properties.

This document specifies the evaluation of computer vision systems, in the sense of measuring the quality of a system’s results to assess its functional suitability. It provides a definition of evaluation methods for those systems, together with guidance on how to select, implement and interpret those evaluation methods. This document covers quantitative metrics as well as other evaluation methods. It includes requirements on the implementation of the described metrics, and further requirements on the technical resources involved in the evaluation process.