Explore the words cloud of the CAESAR project. It provides you a very rough idea of what is the project "CAESAR" about.
The following table provides information about the project.
Coordinator |
UNIVERSITEIT TWENTE
Organization address contact info |
Coordinator Country | Netherlands [NL] |
Total cost | 2˙000˙000 € |
EC max contribution | 2˙000˙000 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2019-COG |
Funding Scheme | ERC-COG |
Starting year | 2020 |
Duration (year-month-day) | from 2020-06-01 to 2025-05-31 |
Take a look of project's partnership.
# | ||||
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1 | UNIVERSITEIT TWENTE | NL (ENSCHEDE) | coordinator | 2˙000˙000.00 |
Emerging technologies, like self-driving cars, drones, and the Internet-of-Things must not impose threats to people, neither due to accidental failures (safety), nor due to malicious attacks (security). As historically separated fields, safety and security are often analyzed in isolation. They are, however, heavily intertwined: measures that increase safety often decrease security and vice versa. Also, security vulnerabilities often cause safety hazards, e.g. in autonomous cars. Therefore, for effective decision-making, safety and security must be considered in combination.
The CAESAR project will develop an effective framework for the joint analysis of safety and security risks. The successful integration of safety and security faces three challenges: 1. The complex interaction between safety and security, mapping how vulnerabilities and failures propagate through a system and lead to disruptions. 2. The lack of efficient algorithms to compute system-level risk metrics, such as the likelihood and expected damage of disruptions. Such metrics are pivotal to prioritize risks and mitigate them via appropriate countermeasures. 3. The lack of proper risk quantification methods. Numbers are crucial to devise cost-effective countermeasures. Yet, objective numbers on safety and (especially) security risks are notoriously hard to obtain. The CAESAR project will address these challenges by novel combinations of mathematical game theory, stochastic model checking and the Bayesian, fuzzy, and Dempster-Schafer frameworks for uncertainty reasoning. Key outcomes: • An effective framework for joint safety-security analysis • Scalable algorithms and diagnosis methods to compute safety-security risk metrics • Stochastic model checking in the presence of uncertainty CAESAR will not only yield breakthroughs in safety-security analysis, but also for quantitative analyses in other domains. It will make decision making on safety-security easier, more systematic, and transparent.
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The information about "CAESAR" are provided by the European Opendata Portal: CORDIS opendata.