Dipartimento di Ingegneria informatica, automatica e gestionale

Networked Systems Security

Networks evolve with the current growth of the number of users and their demands. Therefore, the researchers in academia and industry constantly propose new network architectures and devices that counteract such an exponential growth. In my research, I focus on the security and privacy aspects of emerging network architectures, i.e., Software-Defined Networking and Information-Centric Networking. In particular, I study and develop network security mechanisms that can be deployed in networked (and sometimes contrained) devices with the aim of enriching the overall security.

Application of Artificial Intelligence in  Network Security Tasks

Artificial Intelligence has taken over many disciplines and its application has shown benefits also in real-world applications. Indeed, applying AI techniques for the network security is a well-explored task that has improved the ability to detect and quickly act to malicious network events. In my research, an important focus is using state-of-the-art AI techniques that can improve the detection and mitigation of well-known attacks, e.g., Distributed Denial of Service Attacks. Additionally, my research aims at rendering the AI-based network detection tools transparent via interpretability techniques. Lastly, my research interest also covers the design of privacy-preserving protocols that can solve privacy issues of well-known AI framewroks, e.g., Federated Learning.