Marco Zuppelli
Research Activity
Information Hiding, Steganography, Covert Channels.
Bio
Marco Zuppelli is a third year PhD student at University of Genoa and a research fellow at the Institute for Applied Mathematics and Information Technologies of the National Research Council of Italy. Within the European Project SIMARGL (Secure Intelligent Methods for Advanced RecoGnition of malware and stegomalware), he investigates novel detection methods for steganographic malware exploiting both network and local covert channels. His main research interests are the use of in-kernel methodologies (e.g., the extended Berkeley Packet Filter) to collect information on software/network components, and the design of mechanisms for detecting malicious communications in an efficient, scalable and extensible manner. Moreover, he is studying and analyzing mitigation techniques targeting malware able to conceal itself into digital objects, such as images.
Projects
Publications
Code Layering for the Detection of Network Covert Channels in Agentless Systems
M. Zuppelli, M. Repetto, A. Schaffhauser, W. Mazurczyk, L. Caviglione
CNR@IRIS | DOI: 10.1109/TNSM.2022.3176752
2022, Journal article
IPv6CC: IPv6 Covert Channels for Testing Networks Against Stegomalware and Data Exfiltration
L. Caviglione, A. Schaffhauser, M. Zuppelli, W. Mazurczyk
CNR@IRIS | DOI: 10.1016/j.softx.2022.100975
2021, Journal article
An Effective and Efficient Approach to Improve Visibility Over Network Communications
Marco Zuppelli, Alessandro Carrega, Matteo Repetto
CNR@IRIS | DOI: 10.22667/JOWUA.2021.12.31.089
2021, Journal article
Covert Channels in Transport Layer Security: Performance and Security Assessment
Corinna Heinz, Marco Zuppelli, Luca Caviglione
CNR@IRIS | DOI: 10.22667/JOWUA.2021.12.31.022
2021, Journal article
Kernel-level Tracing for Detecting Stegomalware and Covert Channels in Linux Environments
Luca Caviglione, Wojciech Mazurczyk, Matteo Repetto, Andreas Schaffhauser, and Marco Zuppelli
CNR@IRIS | DOI: 10.1016/j.comnet.2021.108010
Are We Protected Against Network Covert Channels?
Marco Zuppelli
CNR@IRIS | Link
2022, Conference communications
Strumenti Intelligenti per Threat Detection e Response
Francesco Sergio Pisani, Silvia Biasotti, Nunziato Cassavia, Luca Caviglione, Gianluigi Folino, Massimo Guarascio, Giuseppe Manco, Marco Zuppelli
CNR@IRIS | Link
2021, Conference proceedings
bccstego: A Framework for Investigating Network Covert Channels
M. Repetto, L. Caviglione, M. Zuppelli
CNR@IRIS | Link
2021, Conference proceedings
Code Augmentation for Detecting Covert Channels Targeting the IPv6 Flow Label
L. Caviglione, M. Zuppelli, W. Mazurczyk, A. Schaffhauser, M. Repetto
CNR@IRIS | DOI: 10.1109/NetSoft51509.2021.9492661
2021, Conference proceedings
Detecting Covert Channels Through Code Augmentation
M. Zuppelli, L. Caviglione, M. Repetto
CNR@IRIS
2021, Conference proceedings
pcapStego: A Tool for Generating Traffic Traces for Experimenting with Network Covert Channels
M. Zuppelli, L. Caviglione
CNR@IRIS | Link
2021, Conference communications
Rilevamento Efficiente di Covert Channel Preservando la Riservatezza del Traffico
Marzo Zuppelli, Luca Caviglione, Corrado Pizzi, Matteo Repetto
CNR@IRIS | Link
2021, Conference proceedings
Sanitization of Images Containing Stegomalware via Machine Learning Approaches
M. Zuppelli, G. Manco, L. Caviglione, M. Guarascio
CNR@IRIS
2020, Conference proceedings
Programmable Data Gathering for Detecting Stegomalware
A. Carrega, L. Caviglione, M. Repetto and M. Zuppelli
CNR@IRIS



