Decoration

ETSI releases a Report to enable MEC deployment in a multi-operator’s environment

Sophia Antipolis, 20 July 2021

The ETSI MEC Industry Specification Group (ETSI ISG MEC) has just released a new Group Report ETSI GR MEC 0035 to enable inter-MEC system deployment and MEC-Cloud system coordination. This Report was motivated by the mobile network operators’ interest in forming federated MEC environments and enabling information exchange in a secure manner, in the event that MEC platforms or applications belong to different MEC systems.


Decoration

ETSI releases IoT testing specifications for MQTT, CoAP and industrial automation and control systems

Sophia Antipolis, 25 June 2021

The ETSI committee on Methods for Testing and Specifications (TC MTS) has recently completed a first set of seven standards addressing the testing of the IoT MQTT and CoAP protocols, and the foundational security IoT-Profile.


Decoration

ETSI releases a White Paper on MEC security, first initiative in this domain.

Sophia Antipolis, 3 June 2021

ETSI publishes today a White Paper titled MEC security: Status of standards support and future evolutions written by several authors participating in MEC and other related ETSI groups. This White Paper, the very first initiative in this domain, aims to identify aspects of security where the nature of edge computing leaves typical industry approaches to cloud security insufficient. 


Decoration

ETSI Open Source MANO launches Release TEN, celebrates OSM 5th anniversary

Sophia Antipolis, 16 June 2021

Today ETSI is happy to introduce OSM Release TEN, the 11th Release of an Open-Source project which first announced its Release ZERO in 2016 with the vision of closing the gap between the traditional way of building telecom networks, and the use of cloud technologies in telcos emerging at that time.


Decoration

ETSI releases Mitigation Strategy Report on Securing Artificial Intelligence

Sophia Antipolis, 18 May 2021

ETSI has recently released ETSI GR SAI 005, a report which summarizes and analyses existing and potential mitigation against threats for AI-based systems. Setting a baseline for a common understanding of relevant AI cyber security threats and mitigations will be key for widespread deployment and acceptance of AI systems and applications. This report sheds light on the available methods for securing AI-based systems by mitigating known or potential security threats identified in the recent ENISA threat landscape publication and ETSI GR SAI 004 Problem Statement Report. It also addresses security capabilities, challenges, and limitations when adopting mitigation for AI-based systems in certain potential use cases.