Who we are
The Distributed AI for dependable cyberSecuritY (DAISY) research unit focuses on developing novel AI‑driven methods for cyber threat detection in distributed computing environments, with a particular emphasis on open-world challenges and the trade-off between minimizing cybersecurity risks and preserving perceived service quality in distributed applications. We have a long-standing experience on infrastructure monitoring and control, as well as on resource and service orchestration.
The unit pursues its research and development activities in the following areas:
- AI-driven Threat and Anomaly Detection: AI methods for detecting cyber threats and network/system anomalies that are robust to open-world challenges such as adversarial machine learning attacks and concept drift
- Efficient network and system monitoring: monitoring network and computing devices through programmable data planes
- Privacy-preserving training of AI-based threat detection methods: distributed training of AI-based Intrusion and Anomaly detection systems with no sharing of private data in plain text
- Service and Security Orchestration: automated networking and cloud computing solutions to effectively manage business and security applications
- Cyber Deception: algorithms and tools to lure attackers into decoys to gain insights on their behaviour
The DAISY unit lies within the Cybersecurity center in Fondazione Bruno Kessler (FBK).
