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Realizing the benefits of safety-security co-analysis through effective tool support

Project description

Innovative tool support for safety and security co-analysis

Adequate tool support for analysing safety and security risks together is essential for the reliable operation of technology. A framework for joint safety and security analysis features a graphical risk model and efficient algorithms for calculating risk metrics. Building on this, the ERC-funded RUBICON project will create a proof-of-concept software tool incorporating methods that advance its technology readiness. The project will scale up the analysis methods to address industry-sized challenges, enhance the interpretability of results, and, by using and advancing Pareto analysis, develop multi-objective optimisation techniques. Additionally, it will focus on balancing conflicting requirements and commercialising the proof-of-concept tool after the project’s completion.

Objective

Effective tool support for the joint analysis of safety and security risks is long overdue.

Risk management is an important activity to ensure the reliable functioning of technology, such as power plants and self-driving cars. Risks include both safety (= accidental failures) and security aspects (= malicious attacks). Historically, safety and security risks have been analyzed in isolation, despite often conflicting with each other. Effective decision-making requires considering safety and security risks in combination, as measures that increase safety may decrease security and vice versa.

My Consolidator Grant CAESAR has laid out the groundwork for a safety-security co-analysis framework: (1) A graphical risk model, mapping how vulnerabilities and failures propagate and cause system-level disruptions; (2) efficient algorithms to compute risk metrics, indicating how well a system performs in terms of safety-security. (3) algorithms that quantify the uncertainty of the analysis algorithms.

In RUBICON, I will develop a PoC software tool that supports methods from CAESAR, advancing from TRL1 to TRL3. Key challenges to be tackled include:
Scaling up analysis methods to handle industry-size problems, by tailoring algorithms to work with specific subclasses that appear in practice.
Improve the interpretability of calculated outcomes. We will develop diagnostic feedback methods based on counter example analysis and importance factors.
Multi-objective optimization techniques. When dealing with multiple, interdependent parameters, conflicting requirements often arise, due to resource constraints and varying priorities. RUBICON will develop optimal strategies to effectively balance such conflicts, exploiting and advancing Pareto-analysis.

The proof-of-concept tool will be tested and validated via lab and pilot studies across different industrial domains. A serious market analysis will lay out an actionable strategy to commercialize the PoC tool post-project.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

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(opens in new window) ERC-2024-POC

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Host institution

UNIVERSITEIT TWENTE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 150 000,00
Address
DRIENERLOLAAN 5
7522 NB Enschede
Netherlands

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Region
Oost-Nederland Overijssel Twente
Activity type
Higher or Secondary Education Establishments
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Total cost

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Beneficiaries (1)

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