IT in general

This document specifies how to map IPv6 over DECT ULE inspired by [RFC4944], [RFC6282], [RFC6775], and [RFC7668].

Digital Enhanced Cordless Telecommunications (DECT) Ultra Low Energy (ULE) is a low-power air interface technology that is proposed by the DECT Forum and is defined and specified by ETSI. The DECT air interface technology has been used worldwide in communication devices for more than 20 years. It has primarily been used to carry voice for cordless telephony but has also been deployed for data-centric services.

SG20 develops international standards to enable the coordinated development of IoT technologies, including machine-to-machine communications and ubiquitous sensor networks. A central part of this study is the standardization of end-to-end architectures for IoT, and mechanisms for the interoperability of IoT applications and datasets employed by various vertically oriented industry sectors.

ITU-T SG 20 Meetings Documents are available here

The ITU-T Focus Group on Artificial Intelligence for Health (AI4H) was established by ITU-T Study Group 16 at its meeting in Ljubljana, Slovenia, 9-20 July 2018. The Focus Group will work in partnership with the World Health Organization (WHO) to establish a standardized assessment framework for the evaluation of AI-based methods for health, diagnosis, triage or treatment deci​sions​. Participation in the FG-AI4H is free of charge and open to all.

The FG-AI4H will pursue the following broad sets of goals:

1. To be a platform to facilitate a global dialogue for AI for health.
2. To collaborate with WHO in developing appropriate national guidance documents for establishing policy-enabled environment to ensure the safe and appropriate use of AI in health.
3. To identify standardization opportunities for a benchmarking framework that will enable broad use of AI for health.
4. To create a technical framework and standardization approach of AI for health algorithm assessment and validation.
5. To develop open benchmarks, targeted to become international standards, and serve as guidance for the assessment of new AI for health algorithms.
6. To develop, together with WHO, an assessment framework for an evaluation and validation process of AI for health.
7. To collaborate with stakeholders to monitor and collect feedback from the use of AI algorithms in healthcare delivery environment, and to provide feedback to development of improved international standards.
8. To generate a transparent documentation by creating reports and specifications towards enabling external assessment of the benchmarking framework and the benchmarked AI for health methods.

This Recommendation is security guidelines of lifecycle management for telecom Big Data. This recommendation covers as follows:

- Introduction the use cases in telecom Big Data;

- Analyze the security risks of lifecycle management for telecom Big Data;

- Specify the security guidelines of lifecycle management for telecom Big Data.

Big data based on cloud computing provides the capabilities to collect, store, analyze, visualize and handle varieties of large volume datasets, which cannot be rapidly transferred and analyzed using traditional technologies. e.g. Big Data as a Service (as defined in [ITU-T Y.3600], big data as a service (BDaaS) is a cloud service category in which the capabilities provided to the cloud service customer are the ability to collect, store, analyse, visualize and manage data using big data.). Data storage, analysis, calculation and other data services based on the big data platform, are developing rapidly in recent years.

This recommendation aims to specify security protection measures of big data platform, regulate security protection measures in the construction and operation process of big data platform, and promote the development of big data services. These measures in the framework will take into account on the national legal and regulatory obligations in individual member states in which the big data platforms operate. The work will proceed using the methodology standardized in clause 10 of Recommendation ITU-T X.1601.

Security-related misbehaviour detection mechanism based on big data analysis for connected vehicles.

The connectivity of vehicles is increasing and the number of vulnerabilities is also increasing with the complex technology development. It makes the connected vehicles face more threats. Big data analysis improves security analysis a lot, and the huge amount of automotive data analysis is very useful for connected vehicles security. This Recommendation addresses security-related misbehaviour detection mechanism based on big data analysis for connected vehicles, which could be helpful for stakeholders to utilize the automotive data to improve vehicle security.

This recommendation is now under study. 

Information technology -- Big data reference architecture -- Part 1: Framework and application process

Currently Under Development

Interoperability for internet of things systems -- Part 1: Framework

Currently Under Development

This International Standard provides a definition of Internet of Things along with a set of terms and 5 definitions.

Still under development

This document provides a standardized IoT Reference Architecture using a common vocabulary, reusable designs and industry best practices. It uses a top down approach, beginning with collecting the most important characteristics of IoT, abstracting those into a generic IoT Conceptual Model, deriving a high level system based reference with subsequent dissection of that model into five architecture views from different perspectives.

You can look here for a preview of the Standard Document.

A common framework for sensor performance specification terminology, units, conditions, and limits is provided. Specifically, the accelerometer, magnetometer, gyrometer/ gyroscope, accelerometer/magnetometer/gyroscope combination sensors, barometer/pressure sensors, hygrometer/humidity sensors, temperature sensors, light sensors (ambient and RGB), and proximity sensors are discussed.

The standard utilizes the advanced capabilities of the XMPP protocol, such as providing globally authenticated identities, authorization, presence, life cycle management, interoperable communication, IoT discovery and provisioning. Descriptive meta-data about devices and operations will provide sufficient information for infrastructural components, services and end-users to dynamically adapt to a changing environment. Key components and needs of a successful Smart City infrastructure will be identified and addressed. This standard does not develop Application Programming Interfaces (APIs) for existing IoT or legacy protocols.