ISO/IEC 19784-1:2018 defines the Application Programming Interface (API) and Service Provider Interface (SPI) for standard interfaces within a biometric system that support the provision of that biometric system using components from multiple vendors. It provides interworking between such components through adherence to this and to other International Standards.
ISO/IEC 2382-37:2017 establishes a systematic description of the concepts in the field of biometrics pertaining to recognition of human beings and reconciles variant terms in use in pre-existing biometric standards against the preferred terms, thereby clarifying the use of terms in this field.
The present document defines security solutions applicable within the M2M system.
The present document specifies high-level provisions for the security of consumer devices that are connected to network infrastructure, such as the Internet or home network, and their associated services. A non-exhaustive list of examples include:
The present document provides basic guidance for organizations involved in the development and manufacturing of consumer IoT on how to implement those provisions.
The present document describes the service provision to be addressed by designers and implementers of the digital ecosystem to ensure that the means by which users interact with the digital ecosystem is consistent across device types, and meet the preferences of the user. The present document addresses the role of the user accessing services in the digital ecosystem with multiple formats of device.
The present document defines guidance to the providers and standard makers to ensure that each service component is provided with the information needed by the user to make an informed choice. It addresses all the dimensions of ACIFO to the supplier, in order to produce the APIs according to the user expectations and whatever the number and types of additional suppliers.
The present document is designed in conjunction with the user guide, ETSI EG 203 602 [i.2]. Each recommendation which has been identified as important for the user finds its parallel for the supplier offer, as defined in the present document.
Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. Also, this Recommendation provides the functional requirements for big data service provider (BDSP) to manage big data provenance. The reliability of data is an important factor in determining the reliability of the analysis result. Data provenance aims to ensure the reliability of data by providing transparency of the historical path of the data. In a big data environment, complex data processing and migration due to the big data lifecycle and data distribution cause various difficulties in managing data provenance.
Recommendation ITU-T F.743.7 specifies requirements for visual surveillance enhanced by big data (VSBD) services. It promotes the value of visual surveillance services by using big data analytics method and tools. Massive video, event and sensing data are analysed to support enhanced visual surveillance services, including video retrieval, event detection and status prediction.
This Recommendation specifies framework of big data driven networking. The scope of this recommendation includes the model architecture of big data driven networking (bDDN), the high-level capabilities of bDDN, the interface capabilities among different planes and layers.
Recommendation ITU-T Y.3601 provides a framework for data exchange in a big data ecosystem. Big data exchange covers multiple processes for data import and data export within a big data ecosystem. Big data exchange is used for exchanging data of multiple types and multiple formats from a data source to a data target.
In a mobile network, a great deal of traffic data which reflects the real status of the mobile network and customers' actual experience is generated all the time. Based on the big data generated from the mobile network more efficient management and reasonable planning of mobile networks can be achieved.
Recommendation ITU-T Y.3519 describes the functional architecture for big data as a service (BDaaS). The functional architecture is defined on the basis of the analysis of requirements and activities of cloud computing-based big data described in Recommendation ITU-T Y.3600.
