363 citations · 729 across the 14 of their papers we have counts for
6 papers · 1 filter
Introducing Packet-Level Analysis in Programmable Data Planes to Advance Network Intrusion Detection
Roberto Doriguzzi-Corin, Luis Augusto Dias Knob, Luca Mendozzi +2
Programmable data planes offer precise control over the low-level processing steps applied to network packets, serving as a valuable tool for analysing malicious flows in the field…
Resource-aware Cyber Deception for Microservice-based Applications
Marco Zambianco, Claudio Facchinetti, Roberto Doriguzzi-Corin +1
Cyber deception can be a valuable addition to traditional cyber defense mechanisms, especially for modern cloud-native environments with a fading security perimeter. However, pre-b…
FLAD: Adaptive Federated Learning for DDoS Attack Detection
Roberto Doriguzzi-Corin, Domenico Siracusa
Federated Learning (FL) has been recently receiving increasing consideration from the cybersecurity community as a way to collaboratively train deep learning models with distribute…
GADoT: GAN-based Adversarial Training for Robust DDoS Attack Detection
Maged Abdelaty, Sandra Scott-Hayward, Roberto Doriguzzi-Corin +1
Machine Learning (ML) has proven to be effective in many application domains. However, ML methods can be vulnerable to adversarial attacks, in which an attacker tries to fool the c…
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems
Maged Abdelaty, Roberto Doriguzzi-Corin, Domenico Siracusa
Deep Learning is emerging as an effective technique to detect sophisticated cyber-attacks targeting Industrial Control Systems (ICSs). The conventional approach to detection in lit…
LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection
Roberto Doriguzzi-Corin, Stuart Millar, Sandra Scott-Hayward +2
Distributed Denial of Service (DDoS) attacks are one of the most harmful threats in today's Internet, disrupting the availability of essential services. The challenge of DDoS detec…