The DOSS – Secure-By-Design IoT Operation With Supply Chain Control – project aims to improve the security and reliability of IoT operations by introducing an integrated monitoring and validation framework to IoT Supply Chains, including all the relevant stakeholders. DOSS elaborates on a secure-by-design methodology and implements related technology based on formalized data exchange, component testing, and architecture modeling.
DOSS
DESIGN AND OPERATION OF SECURE IoT SUPPLY CHAIN
The Concept
USPs outline
What is this solution offering that’s different?
End-to-end communication
The DOSS “Supply Trust Chain” connects all relevant stakeholders with a formalized communication flow to facilitate monitoring of the movement of IoT devices from manufacturers all the way to decommissioning.
Multi-level security testing
DOSS establishes a comprehensive testing model covering all IoT components, including the binary testing of IoT devices, black-box analysis of 3rd party applications, vulnerability assessment on open-source applications, and internal developments the result of which will provide solid evidence of the existence or absence of vulnerabilities.
Security modeling in digital twin
DOSS will use an AI-assisted, flexibly configurable cybersecurity digital twin to simulate already in the design phase the architecture of selected IoT operations to identify potential attack scenarios, to analyze their impact, and to elaborate the necessary countermeasures.
Security feedback from operation
The DOSS IoT “Supply Trust Chain” also comprises the highly protected IoT operation itself, which is integrated into the communication loop to provide relevant security-related information to other actors of the IoT supply chain.
Latest news
A mix of research updates, insights, and scientific publications
Gelenbe E. 2025. Minimizing Delay and Power Consumption at the Edge. Sensors.
Journal: Sensors Authors: Gelenbe E. Abstract: Edge computing systems must offer low latency at low cost and low power consumption for sensors and other applications, including the IoT, smart vehicles, smart homes, and 6G. Thus, substantial research has been conducted to identify optimum task allocation schemes in this context using…
Gelenbe E, Nasereddin M. 2025. Adaptive Attack Mitigation for IoV Flood Attacks. IEEE Internet of Things Journal.
Journal: IEEE Internet of Things Journal Authors: Gelenbe E, Nasereddin M. Abstract: Gateway Servers for the Internet of Vehicles (IoV) must meet stringent Security and Quality of Service (QoS) requirements, including cyberattack protection, low delays and minimal packet loss, to offer secure real-time data exchange for human and vehicle safety…
Deliverable D3.1 Unified component testing methodology
D3.1 presents a unified component testing methodology that integrates various automated security testing approaches tailored for IoT devices, including Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Interactive Application Security Testing (IAST) and the validation of security patches. The methodology described here is intended to form the conceptual…
