Descrizione del progetto
Un quadro integrale per la protezione dai rischi per la sicurezza
I progressi della tecnologia stanno trasformando in realtà fenomeni quali l’intelligenza artificiale, l’apprendimento automatico, le auto a guida autonoma e l’Internet delle cose. Destinati a rendere il nostro mondo maggiormente connesso, la sfida è quella di mantenere livelli elevati di sicurezza da guasti e malfunzionamenti e una maggiore sicurezza per la protezione da eventuali attacchi dolosi. Il progetto CAESAR, finanziato dall’UE, svilupperà un quadro per affrontare le principali sfide. Tra queste, l’associazione tra sicurezza e protezione (mappando il modo in cui punti deboli e problemi possono propagarsi attraverso un sistema, portando ad alterazioni). Il progetto CAESAR svilupperà algoritmi per calcolare in modo efficiente le metriche di rischio a livello di sistema, nonché i metodi di quantificazione del rischio. I risultati promuoveranno le analisi di protezione-sicurezza, contribuendo al processo decisionale.
Obiettivo
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.
Campo scientifico
- 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
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
ERC-COG - Consolidator GrantIstituzione ospitante
7522 NB Enschede
Paesi Bassi