Sophia Antipolis, 17 March 2021
ETSI is pleased to unveil ETSI TS 119 182-1, a specification for digital signatures supported by PKI and public key certificates which authenticates the origin of transactions ensuring that the originator can be held accountable and access to sensitive resources can be controlled.
Sophia Antipolis, 2 March 2021
ETSI is pleased to announce a new specification, ETSI TS 103 523-2: Transport Layer MSP (TLMSP), Part 2 of the Middlebox Security Protocol (MSP) series, which defines a protocol for varied (fine-grained) access control to communications traffic. This specification was developed by the ETSI Technical Committee CYBER.
Sophia Antipolis, 15 February 2021
The ETSI Industry Specification Group on Permissioned Distributed Ledger (ISG PDL) has recently released a number of Reports to support industry and government institutions needs for what is commonly known as blockchain. These Reports cover data record compliance to regulation, application scenarios and smart contracts.
Sophia Antipolis, 2 February 2021
The COVID-19 pandemic has stretched the planet’s health systems to their limits and tested the measures adopted to alleviate difficulties. Contact tracking or tracing to identify infected people has been one such example. However, contact tracing based on interviews with identified or suspected patients presents known weaknesses from previous pandemics. Turning to digital means in a world where global mobility is the rule was therefore of the essence.
Sophia Antipolis, 19 January 2021
The ETSI Securing Artificial Intelligence Industry Specification Group (SAI ISG) last month released its first Group Report, ETSI GR SAI 004, which gives an overview of the problem statement regarding the securing of AI. ETSI SAI is the first standardization initiative dedicated to securing AI.
The Report describes the problem of securing AI-based systems and solutions, with a focus on machine learning, and the challenges relating to confidentiality, integrity and availability at each stage of the machine learning lifecycle. It also points out some of the broader challenges of AI systems including bias, ethics and ability to be explained. A number of different attack vectors are outlined, as well as several cases of real-world use and attacks.
