Standards Database

This document describes the concept and goals of smart transportation by autonomous vehicles on public roads. It provides guidelines for the successful introduction and organisation of autonomous vehicles, with the aim of enhancing the safety of public road transportation and…

What is ISO 37180 about? ISO 37180 discusses smart community infrastructure. This international standard promotes the implementation of QR codes in transportation and its additional services to ease accessibility for commuters. ISO 37180 guides transportation and its related or additional…

What is IEC SRD 63235 – Smart city system about? IEC SRD 63235 is a Systems Reference Deliverable that provides a holistic system of systems approach to provide views, methodology framework, principles, processes, rules, and evaluation criteria for smart city…

Smart communities require much more than just technology. Truly smart communities require citizen-centric and data-driven innovation – a new community operating model that cuts across organizational silos and sectoral barriers. The guiding principles for such a smart community operating model…

What is ISO 22300 about? ISO 22300 defines terms used in security and resilience standards. ISO 22300 provides definitions of generic terms and subject-specific terms related to documents produced by ISO/TC 292. It covers the ISO 22300 family of standards…

This standard provides terminology relating to, and  principles for organizational resilience.  It identifies and attributes and activities that support an organization in enhancing its organizational resilience © ISO/IEC 2022 All rights reserved

This document outlines best practices on assessing security and privacy in artificial intelligence use cases, covering in particular those published in ISO/IEC TR 24030. The following aspects are addressed: —    an overall assessment of security and privacy on the AI…

The NWI will study the role of traceability in the challenge of Securing AI and explore issues related to sharing and re-using models across tasks and industries. The scope includes threats, and their associated remediations where applicable, to ownership rights…

The document provides information about the ‘lightweight’ framework to be used by ETSI ISG SAI to create multi-partner Proofs of Concepts (PoCs). © Copyright 2024, ETSI

This work item describes the challenges of securing AI-based systems and solutions, including challenges relating to data, algorithms and models in both training and implementation environments. The focus will be on challenges which are specific to AI-based systems, including poisoning…

This work item aims to summarize and analyze existing and potential mitigation against threats for AI-based systems. The goal is to have guidelines for mitigating against threats introduced by adopting AI into systems. These guidelines will shed light baselines of…

The intent of this work item is to extend from the published work of SAI to address the issues of design of AI platforms (data, algorithms, frameworks) that are able to give assurance of explainability and transparency of decisions. This…

Data is a critical component in the development of AI systems. This includes raw data as well as information and feedback from other systems and humans in the loop, all of which can be used to change the function of…

This work item covers security aspects of pervasive and collaborative artificial intelligence (AI) (e. g., federated learning, transfer learning, distributed reinforcement learning, decentralized machine learning), where multiple AI agents are pervasively distributed in different places but interact with each other…

This work item covers AI-based techniques for automatically manipulating identity data represented in different media formats, such as audio, video and text (deepfakes). The work item describes the different technical approaches and analyses the threats posed by deepfakes in different…