Stefano Longari

According to our database1, Stefano Longari authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CyFence: Securing Cyber-Physical Controllers via Trusted Execution Environment.
IEEE Trans. Emerg. Top. Comput., 2024

Model Predictive Control with adaptive resilience for Denial-of-Service Attacks mitigation on a Regulated Dam.
CoRR, 2024

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023
CANova: A hybrid intrusion detection framework based on automatic signal classification for CAN.
Comput. Secur., May, 2023

Task Aware Intrusion Detection for Industrial Robots.
Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), 2023

CANdito: Improving Payload-Based Detection of Attacks on Controller Area Networks.
Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023

Evaluating the Robustness of Automotive Intrusion Detection Systems Against Evasion Attacks.
Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023

2022
GOLIATH: A Decentralized Framework for Data Collection in Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2022

CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
CANnolo: An Anomaly Detection System Based on LSTM Autoencoders for Controller Area Network.
IEEE Trans. Netw. Serv. Manag., 2021

2019
A Secure-by-Design Framework for Automotive On-board Network Risk Analysis.
Proceedings of the 2019 IEEE Vehicular Networking Conference, 2019

CopyCAN: An Error-Handling Protocol based Intrusion Detection System for Controller Area Network.
Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy, 2019


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