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Anna Marton, Safepay Systems

Gelenbe E, Ren Q, Yan Z. 2026. A trust model for networked systems. npj Wireless Technology 2026. Publications

Gelenbe E, Ren Q, Yan Z. 2026. A trust model for networked systems. npj Wireless Technology 2026.

Journal: npj Wireless Technology Authors: Gelenbe E, Ren Q, Yan Z. Abstract: This paper investigates the manner in which trust develops progressively and changes over time among networked entities through opinions, negative or  positive, that these entities express about each other. The entities receive “voting rights” from an external regulator,…
Deliverable D5.2 – Architecture Security Validator Platform Deliverables

Deliverable D5.2 – Architecture Security Validator Platform

D5.2 is a demonstrator deliverable presenting the technical realization of the DOSS Architecture Security Validator (ASV) platform. Created in Work Package 5, the ASV!s objective was to elaborate an automated platform that verifies and pre-certifies IoT architectures against security standards and regulations. It provides continuous compliance assessment, identifying shortcomings through…
Deliverable D4.3 – Digital Cybersecurity Twin Deliverables

Deliverable D4.3 – Digital Cybersecurity Twin

D4.3 is a demonstrator deliverable presenting the implementation of the Digital Cybersecurity Twin (DCT) framework, showcasing its full capabilities through a Hydro Plant testbed developed by the BME team. The DCT framework integrates seamlessly into the DOSS workflow, interfacing with the Component Tester, Architecture Security Validator, DSP Platform and the…
Deliverable D3.2 – Component Tester Deliverables

Deliverable D3.2 – Component Tester

D3.2 is a demonstrator deliverable presenting the implemented Component Tester (CT) of the DOSS project. It realizes in practice the unified component testing methodology defined in Deliverable D3.1 by integrating and orchestrating a set of security testing tools covering static, dynamic, interactive, and patch validation analyses. The current deliverable presents…
Gelenbe E, Ma Y. 2026. IoT-Driven Pull Scheduling to Avoid Congestion in Human Emergency Evacuation. Sensors. Publications

Gelenbe E, Ma Y. 2026. IoT-Driven Pull Scheduling to Avoid Congestion in Human Emergency Evacuation. Sensors.

Journal: Sensors Authors: Gelenbe E, Ma Y. Abstract: The efficient and timely management of human evacuation during emergency events is an important area of research where the Internet of Things (IoT) can be of great value. Significant areas of application for optimum evacuation strategies include buildings, sports arenas, cultural venues,…
Fuzzing for the CRA era Insights

Fuzzing for the CRA era

By Ramon Barakat, Roman Kraus and Martin Schneider, Fraunhofer FOKUS Recent incidents have shown how a seemingly small memory access bug can cascade into global disruption . With the EU’s Cyber Resilience Act (CRA) and the new Product Liability Directive, manufacturers of “products with digital elements” must deliver security by design,…