Marco Zuppelli

According to our database, Marco Zuppelli authored at least 21 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DockerChannel: A framework for evaluating information leakages of Docker containers.

Enrico Cambiaso, Luca Caviglione, Marco Zuppelli

SoftwareX, December, 2023

A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores.

Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Zuppelli

Soc. Netw. Anal. Min., December, 2023

ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper).

Luca Caviglione, Carmela Comito, Massimo Guarascio, Giuseppe Manco, Francesco Sergio Pisani, Marco Zuppelli

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Information Leakages of Docker Containers: Characterization and Mitigation Strategies.

Marco Zuppelli, Matteo Repetto, Luca Caviglione, Enrico Cambiaso

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities.

Angelica Liguori, Simone Mungari, Marco Zuppelli, Carmela Comito, Enrico Cambiaso, Matteo Repetto, Massimo Guarascio, Luca Caviglione, Giuseppe Manco

Proceedings of the Italia Intelligenza Artificiale, 2023

2022

Code Layering for the Detection of Network Covert Channels in Agentless Systems.

Marco Zuppelli, Matteo Repetto, Andreas Schaffhauser, Wojciech Mazurczyk, Luca Caviglione

IEEE Trans. Netw. Serv. Manag., 2022

IPv6CC: IPv6 covert channels for testing networks against stegomalware and data exfiltration.

Luca Caviglione, Andreas Schaffhauser, Marco Zuppelli, Wojciech Mazurczyk

SoftwareX, 2022

Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons.

Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Surace, Marco Zuppelli

Proceedings of the Pervasive Knowledge and Collective Intelligence on Web and Social Media, 2022

Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning.

Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Giuseppe Manco, Luca Caviglione

Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022

Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems.

Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Revealing MageCart-like Threats in Favicons via Artificial Intelligence.

Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Luca Caviglione, Giuseppe Manco

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

Detection of Malicious Images in Production-Quality Scenarios with the SIMARGL Toolkit.

Luca Caviglione, Martin Grabowski, Kai Gutberlet, Adrian Marzecki, Marco Zuppelli, Andreas Schaffhauser, Wojciech Mazurczyk

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

An Effective and Efficient Approach to Improve Visibility Over Network Communications.

Marco Zuppelli, Alessandro Carrega, Matteo Repetto

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2021

Covert Channels in Transport Layer Security: Performance and Security Assessment.

Corinna Heinz, Marco Zuppelli, Luca Caviglione

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2021

Kernel-level tracing for detecting stegomalware and covert channels in Linux environments.

Luca Caviglione, Wojciech Mazurczyk, Matteo Repetto, Andreas Schaffhauser, Marco Zuppelli

Comput. Networks, 2021

Code Augmentation for Detecting Covert Channels Targeting the IPv6 Flow Label.

Luca Caviglione, Marco Zuppelli, Wojciech Mazurczyk, Andreas Schaffhauser, Matteo Repetto

Proceedings of the 7th IEEE International Conference on Network Softwarization, 2021

Detecting Covert Channels Through Code Augmentation.

Marco Zuppelli, Luca Caviglione, Matteo Repetto

Proceedings of the Italian Conference on Cybersecurity, 2021

Sanitization of Images Containing Stegomalware via Machine Learning Approaches.

Marco Zuppelli, Giuseppe Manco, Luca Caviglione, Massimo Guarascio

Proceedings of the Italian Conference on Cybersecurity, 2021

pcapStego: A Tool for Generating Traffic Traces for Experimenting with Network Covert Channels.

Marco Zuppelli, Luca Caviglione

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

bccstego: A Framework for Investigating Network Covert Channels.

Matteo Repetto, Luca Caviglione, Marco Zuppelli

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Programmable Data Gathering for Detecting Stegomalware.

Alessandro Carrega, Luca Caviglione, Matteo Repetto, Marco Zuppelli

Proceedings of the 6th IEEE Conference on Network Softwarization, 2020