Projektbeschreibung
Ein integrales Rahmenwerk zum Schutz gegen Sicherheitsrisiken
Dank technologischer Fortschritte werden künstliche Intelligenz, maschinelles Lernen, selbstfahrende Autos und das Internet der Dinge zur Realität. Diese Technologien sind dazu bestimmt, unsere Welt enger zu vernetzen, die Herausforderung besteht dabei jedoch, ein hohes Maß an Sicherheit aufrechtzuerhalten, um Ausfälle und Fehlfunktionen zu vermeiden und bösartige Angriffe abzuwehren. Das EU-finanzierte Projekt CAESAR entwickelt ein Rahmenwerk, um die Hauptprobleme anzugehen. Dazu gehört die Bestimmung von Sicherheitseigenschaften (die Feststellung, wie Schwachstellen und Ausfälle sich in einem System fortpflanzen und zu Störungen führen können). Das Projekt CAESAR wird Algorithmen zur effizienten Berechnung von Risikometriken auf Systemebene sowie Risikoschätzungsverfahren entwickeln. Die Ergebnisse werden Sicherheitsanalysen verbessern und die Entscheidungsfindung unterstützen.
Ziel
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.
Wissenschaftliches Gebiet
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencesmathematicsapplied mathematicsgame theory
- natural sciencescomputer and information sciencescomputer security
Schlüsselbegriffe
Programm/Programme
Thema/Themen
Finanzierungsplan
ERC-COG - Consolidator GrantGastgebende Einrichtung
7522 NB Enschede
Niederlande