activity
20222026
most citedPerformance comparison of timing-based anomaly detectors for Controller Area Network: a reproducible study

13 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2026

A latent space network model for dynamic neural latent embedding

Riccardo Rastelli, Shizhe Chen

We introduce a novel latent space network model for analyzing multivariate time series of neural spike-train data. The methodology is motivated by an experimental study in mice, wh…

cs.CR2025

RADAR: a Radio-based Analytics for Dynamic Association and Recognition of pseudonyms in VANETs

Giovanni Gambigliani Zoccoli, Filip Valgimigli, Dario Stabili +1

This paper presents RADAR, a tracking algorithm for vehicles participating in Cooperative Intelligent Transportation Systems (C-ITS) that exploits multiple radio signals emitted by…

cs.CR2024★ 5 cited

Finding (and exploiting) vulnerabilities on IP Cameras: the Tenda CP3 case study

Dario Stabili, Tobia Bocchi, Filip Valgimigli +1

Consumer IP cameras are now the most widely adopted solution for remote monitoring in various contexts, such as private homes or small offices. While the security of these devices…

cs.CR2024★ 1 cited

HackCar: a test platform for attacks and defenses on a cost-contained automotive architecture

Dario Stabili, Filip Valgimigli, Edoardo Torrini +1

In this paper, we introduce the design of HackCar, a testing platform for replicating attacks and defenses on a generic automotive system without requiring access to a complete veh…

cs.CR2024

Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks

Andrea Venturi, Dario Stabili, Mirco Marchetti

Machine Learning (ML) algorithms have become increasingly popular for supporting Network Intrusion Detection Systems (NIDS). Nevertheless, extensive research has shown their vulner…

cs.CR2023★ 13 cited

Performance comparison of timing-based anomaly detectors for Controller Area Network: a reproducible study

Francesco Pollicino, Dario Stabili, Mirco Marchetti

This work presents an experimental evaluation of the detection performance of eight different algorithms for anomaly detection on the Controller Area Network (CAN) bus of modern ve…

eess.SY2022

Exploring the consequences of cyber attacks on Powertrain Cyber Physical Systems

Dario Stabili, Raffaele Romagnoli, Mirco Marchetti +2

This paper proposes a novel approach for the study of cyber-attacks against the powertrain of a generic vehicle. The proposed model is composed by a a generic Internal Combustion e…