ETSI IoT Week 2022

Programme Committee Members:

• Francisco da Silva, ETSI SmartM2M Vice Chair, Huawei Technologies
• Laura Daniele, TNO
• Mauro Dragoni, Fondazione Bruno Kessler
• Ray Forbes, ETSI ISG ENI Chair, Huawei Technologies
• Lindsay Frost, ETSI ISG CIM Chair, NEC
• Raul Garcia-Castro, Universidad Politécnica de Madrid (UPM)
• Patrick Guillemin, ETSI
• Roland Hechwartner, oneM2M Technical Plenary Chair, Deutsche Telekom AG / T-Mobile International Austria, Programme Committee Vice Chair
• Georgios Karagiannis, Huawei Technologies
• Alex Leadbeater, ETSI TC CYBER Chair, BT
• Luigi Liquori, INRIA 
• Svetoslav Mihaylov, DG CONNECT, European Commission
• Thierry Monteil, IRIT
  
• Marie-Agnes Peraldi-Frati, INRIA
• Xavier Piednoir, ETSI
• Enrico Scarrone, ETSI SmartM2M Chair, oneM2M Steering Committee Chair, Telecom Italia S.p.A., Programme Committee Chair
• Massimo Vanetti, European Digital SME Alliance, Programme Committee Vice Chair
• Michelle Wetterwald, Netellany/ FB Consulting, Programme Committee Vice Chair
• Suno Wood, ETSI TC eHEALTH Chair, eG4U

Up to 10 Demonstrations showcasing use cases and technologies in support of the digital and green transformation will complement the programme of the event,
from 11 to 13 October. 

Standardized Device Provisioning and Data Access with oneM2M: 
The Demo shows how oneM2M is used to enable a unified bulk device provisioning mechanism for devices of different technologies using different device communication mechanisms. It also shows oneM2M containers are used to enable a unified access to device data of different technologies (including LwM2M) through an harmonized device data structure.
Andreas Kraft, Deutsche Telekom IoT GmbH 

Heterogenous, Federated IoT Systems For Public Protection And Disaster Relief Scenarios: 
The demonstration uses disparate IOT sensors and actuators, working over disparate communication bearers, to provide a coherent, secure, multi-functional response.
Michael Street, NATO C&I Agency

The IoTAC Software Security-by-Design (SSD) Platform: 
The security of the software that is running on IoT systems is equally important to the security of their overall IoT architecture. Regardless of how secure the architecture of an IoT system may be, a vulnerability in a software application that is running on this system, may infringe its overall security, leading to devastating consequences both for the end users and the involved enterprises, including disclosure of sensitive information, reputation damages, and financial losses. Hence, building software that is highly secure (i.e., sufficiently vulnerability-free) from the ground up is critical for the security of the final IoT system on which the application is deployed and operating. To this end, within the context of the IoTAC Horizon2020 Project, we are building a Software Security-by-Design (SSD) Platform, which is responsible for providing novel solutions for monitoring and optimizing the security of IoT software applications, throughout their overall Software Development Lifecycle (SDLC), focusing mainly on the Design, Requirements, Implementation, and Testing phases. With respect to the Design and Requirements phases the SSD Platform provides novel solutions for specifying, verifying, and validating security requirements, as well as for checking whether a given IoT software adheres to a set of security requirements, utilizing Natural Language Processing (NLP) techniques and fuzzy logic. During the Implementation and Testing phases, the SSD Platform provides solutions for measuring the internal security level of the source code in a quantifiable way and for detecting security hotspots (i.e., parts of the system that are likely to contain vulnerabilities) based on static (or dynamic) analysis and machine learning, and particularly on deep learning. Finally, the SSD platform provides solutions for aggregating the analysis results produced by the security monitors of the various phases of the SDLC along with information from international security standards, in order to provide a broader security validation, which could be used as the basis for security certification, putting emphasis on automating parts of the overall validation/certification process. The above-mentioned concepts will be demonstrated in the form of a demo.
Miltiadis Siavvas, Centre for Research and Technology Hellas

oneM2M Stacks and Self Energy Consumption: 
The crossing between the standardization of the IoT and the green IT has for the moment been made almost exclusively in the fields of applications such as the smart city or even the smart grid. However, work does exist, for example, on considering the energy consumed by an end-to-end IoT system. Tools exist also to measure the energy impact in the ICT world but partially adapted to the IoT (greenspector for example for the WEB smartphone).
Standardization bodies have not taken the sustainable aspect into account in defining the standard itself. However, this could be integrated into the services, into the mechanisms or even into the architecture that the standard offer. The increasing deployment of IoT systems will ultimately have an increasingly strong impact on the energy that they themselves consume.
In this demonstration we propose to show how we have measured the impact of deployment of the oneM2M standard in term of energy. To do so an architecture with IN and MN nodes is deployed. Several opensource implementations of oneM2M will be test: ACME, Mobius and OM2M. Those three IoT stacks are interesting because they use different language: python, node JS, java. Their philosophy is different: made for education, research or industry. Their internal architecture is also different.
We will demonstrate several uses of oneM2M resources (AE, CNT, CIN, ACP, SUB, etc) and their impact of energy consumption. Those experiences in real time will show a very different profile of energy consumption that will highlight the importance of programming language, type of database, distribution of oneM2M nodes, programming architecture. Based on this we will able to suggest to integrate new concept in oneM2M.
During this demonstration we will also give information and demonstrate a new oneM2M opensource stack called LOM2M dedicated to microcontroller that will be available during the ETSI IOT week for the first time as opensource.
Thierry Monteil, IRIT

Demonstration of MEC IoT API: 
The demonstration will be hosted by the (remote) Athonet R&I Testbed, and will show how a MEC IoT Service compliant with the MEC GS 033 specification works. Specifically, connectivity will be set up between:
- a simulated UE with limited computing/networking capabilities, which aims at publishing small packets on a message bus;
- an IoT application, which aims at consuming the messages it receives by subscribing to the same message bus.
The communication between these two entities will be established via:
- an LTE network, comprising a simulated eNB and a real EPC;
- an apparatus implementing the logic of a MEC IoT service and IoT API;
- a MQTT broker implementing the message bus.
Andrea Spinato, Athonet S.r.l.

oneM2M-based Unmanned Aircraft Data Management Platform: 
This demonstration is about multi-unmanned aircraft, also known as drones, integrated control and monitoring system using Mobius, an open source IoT server platform based on the oneM2M standard. It will be shown that various mission services are possible remotely through the IoT deviceization of various sensors and devices mounted on drones. In addition, through a standard-based management system and data protocol, an integrated control system for multiple heterogeneous drones from the center will be implemented and introduced.
Jong-Hong Park, Korea Electronics Technology Institute

Digital Transformation using AI-enabled IoT based on the oneM2M Standards: 
We present the following demonstrations to show the possibility of oneM2M as one of the essential technologies and standards to realize the future digital world in which the physical and virtual worlds are converged as one.
Jaeho Kim, Sejong University & KETI

Managing AI Services with oneM2M and Semantics: 
Digitalization brings opportunity to improve the business in different verticals like Smart Building, Smart City, Smart Industry, etc. But it requires the integration of different powerful but complex technologies like IoT, AI or Digital Twin. This requires also interoperability for which semantic technologies are valuable.
The demonstration proposed by Orange demonstrates how oneM2M standard and ETSI related specifications like SAREF ontologies can help for this digitalization ambition.
The showcase relies on a oneM2M architecture and platform, an AI/ML platform, a digital twin platform and IoT devices like cameras or lights. The scenario first focuses on the AI/ML processing and the data that can be extracted from a live video feed. The demonstration shows that by using the oneM2M semantic descriptors referring to SAREF ontologies, the system can enrich the SDT (Smart Device Templates) representation of an IP camera with data coming from an AI/ML service that operates on the video stream from that specific IP camera.
The scenario also shows that the AI/ML platform (detection of objects, counting objects, etc.) can provide the SDT instances with data that can be used by a monitoring system to take actions. For example, if a threshold is crossed, an alert is raised, and some action is taken based on a contextual information.
Semantic descriptors are also used to refer to a knowledge base that contains digital twin. This knowledge base is used to manage the service infrastructure, by describing the dependencies between the different components of the AI-based monitoring services, thanks to IOT-D, an ontology that extends the SAREF core ontology. By reasoning on the dependencies graph, the system can detect potential failure propagation in the service and raise alerts.
Sebastien Bolle, Przemysław Ratuszek, Orange

Demonstrate SAREF-Based Semantic Interoperability In Action: 
The demo will showcase one of the use cases that have been implemented in the InterConnect large scale pilots – i.e., optimal management of smart appliances in residential buildings - using one or more smart appliances (e.g., a dryer) provided by BSH at the ETSI premises, in combination with other components connected remotely and distributed in various Interconnect pilots. This use case enables the smart start of appliances in order to benefit of lower tariff or green energy. It allows users to express their preferences using the native BSH smart phone application (or directly from the interface of the smart appliance), for example, indicating the latest time in which a washing machine should complete its task. In the demo, we will show how, based on the user preferences, the different appliances from BSH locally present at the ETSI – which use the EEBUS SPINE-IoT standard defined in EN50631 – can look up and connect to ANY Energy Manager in the InterConnect service store, such as the Energy Manager located in the pilot in the Netherlands - which is based on the TNO Reflex platform and uses the S2 standard defined in EN50491-12 – or an alternative Energy Manager located in the pilot in Portugal. Bridging technology between the different standards is the InterConnect Semantic Interoperability Framework (SIF) which uses SAREF/SAREF4ENER as common vocabulary to connect different standards such as EN50631 and EN50491-12.
Fabio Coelho, INESC TEC

Access to Presentations (PDF)