PARTICLE has presented the paper “On the Path Towards Standardisation of a Sensor API for Forensics Investigations” at SENSORNETS 2023. Forensics investigations need to be conducted efficiently and accurately especially in situations where time is a scarce resource. Novel technologies, like forensic sensors, can aid investigators in trace detection, visualisation, Ler mais…
Aligned with the guidelines of the Cybersecurity Act and the existing guidance on cybersecurity for medical devices, ENTRUST envisions a Trust Management Architecture intended to dynamically and holistically manage the lifecycle of connected medical devices, strengthening trust and privacy in the entire medical ecosystem. Even from the proposal stage, ENTRUST Ler mais…
The RISEN project is developing a generic SENSOR API that will be used by different RISEN sensors manufactured by different organisations. In this regard, the existing SENSOR API can be further generalised and used as a basis for a future standard, allowing any CBRNe SENSOR to connect and exchange information, Ler mais…
The aim of the RISEN project is the development of a set of realtime contactless sensors for the optimization of the trace, detection, visualisation, identification and interpretation on site, with a consequent reduction of the time and resources in the laboratory, and for a fast exchange of information among LEAs. Ler mais…
PARTICLE.TALK provides modern IP-based private digital communications service supporting multi-protocols for chat, audio and video communication.
PARTICLE.TALK servers can be installed at the customer premisses or at PARTICLE cloud servers. Regardless, customers have full control of communications and content.
Major emergencies have increased in complexities and scale. They have become more severe in magnitude and societal repercussions. They cross borders and affect the livelihoods of local and global communities. To increase resilience and disaster protection in the European Union, it is imperative to use the most advanced technology and Ler mais…
The increasing frequency and intensity of natural disasters require policies aimed at tackling these risks through preventive, preparedness, response and recovery actions. Increasing the resilience of infrastructure, ecosystems and society in the EU is an important strand of disaster risk management work. It is from this need that VALKYRIES was born, a project financed by the Ler mais…
PARTICLE is involved in the deployment of the highest density sensor network dedicated to monitor seismic activity in Portugal. The network will be constituted by hundreds of sensors in the region of Évora. It will monitor strong seismic activity in real-time, allowing the generation of live shake maps. Importantly, the network is expected to: Enhance the knowledge on the characterisation of the seismic activity in the region through high-resolution mapping of clusters and faults; 2) Create an organised database populated with live data from the high-density seismic network; 3) Rapid assess ground shaking movements (e.g., earthquake); 4) Improve geohazard assessments.
Authors: Marco Manso PARTICLE SUMMARY Portugal Roberto Chirico ENEA Italy Johannes Peltola VTT Finland Philip Engström Swedish National Forensic Centre Sweden Håkan Larsson Swedish National Forensic Centre Sweden Jimmy Berggren Swedish National Forensic Centre Sweden Abstract Following a chemical or biological attack, the rate at which a forensic investigation proceeds Ler mais…
PARTICLE has contributed to research communities by actively publishing work related with security, defence and environmental monitoring. In this page it is presented the publications done in the last years.