Marco Zuppelli

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Adobe Photoshop

Information Sharing

Top Venues

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

Publications

Marco Zuppelli, Massimo Guarascio, Luca Caviglione, Angelica Liguori
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls. ARES (2024)
Kai Hölk, Wojciech Mazurczyk, Marco Zuppelli, Luca Caviglione
Investigating HTTP Covert Channels Through Fuzz Testing. ARES (2024)
Angelica Liguori, Marco Zuppelli, Daniela Gallo, Massimo Guarascio, Luca Caviglione
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders. ISMIS (2024)
Enrico Cambiaso, Luca Caviglione, Marco Zuppelli
DockerChannel: A framework for evaluating information leakages of Docker containers. SoftwareX 24 (2023)
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Zuppelli
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores. Soc. Netw. Anal. Min. 13 (1) (2023)
Angelica Liguori, Simone Mungari, Marco Zuppelli, Carmela Comito, Enrico Cambiaso, Matteo Repetto, Massimo Guarascio, Luca Caviglione, Giuseppe Manco
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities. Ital-IA (2023)
Marco Zuppelli, Matteo Repetto, Luca Caviglione, Enrico Cambiaso
Information Leakages of Docker Containers: Characterization and Mitigation Strategies. NetSoft (2023)
Luca Caviglione, Carmela Comito, Massimo Guarascio, Giuseppe Manco, Francesco Sergio Pisani, Marco Zuppelli
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). SEBD (2023)
Luca Caviglione, Martin Grabowski, Kai Gutberlet, Adrian Marzecki, Marco Zuppelli, Andreas Schaffhauser, Wojciech Mazurczyk
Detection of Malicious Images in Production-Quality Scenarios with the SIMARGL Toolkit. ARES (2022)
Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Luca Caviglione, Giuseppe Manco
Revealing MageCart-like Threats in Favicons via Artificial Intelligence. ARES (2022)
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems. ISMIS (2022)
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Giuseppe Manco, Marco Zuppelli
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 13 (3) (2022)
Marco Zuppelli, Matteo Repetto, Andreas Schaffhauser, Wojciech Mazurczyk, Luca Caviglione
Code Layering for the Detection of Network Covert Channels in Agentless Systems. IEEE Trans. Netw. Serv. Manag. 19 (3) (2022)
Luca Caviglione, Andreas Schaffhauser, Marco Zuppelli, Wojciech Mazurczyk
IPv6CC: IPv6 covert channels for testing networks against stegomalware and data exfiltration. SoftwareX 17 (2022)
Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Giuseppe Manco, Luca Caviglione
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning. ITASEC (2022)
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Surace, Marco Zuppelli
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons. PerSOM (2022)
Corinna Heinz, Marco Zuppelli, Luca Caviglione
Covert Channels in Transport Layer Security: Performance and Security Assessment. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12 (4) (2021)
Marco Zuppelli, Giuseppe Manco, Luca Caviglione, Massimo Guarascio
Sanitization of Images Containing Stegomalware via Machine Learning Approaches. ITASEC (2021)
Matteo Repetto, Luca Caviglione, Marco Zuppelli
bccstego: A Framework for Investigating Network Covert Channels. ARES (2021)
Luca Caviglione, Wojciech Mazurczyk, Matteo Repetto, Andreas Schaffhauser, Marco Zuppelli
Kernel-level tracing for detecting stegomalware and covert channels in Linux environments. Comput. Networks 191 (2021)
Marco Zuppelli, Luca Caviglione, Matteo Repetto
Detecting Covert Channels Through Code Augmentation. ITASEC (2021)
Luca Caviglione, Marco Zuppelli, Wojciech Mazurczyk, Andreas Schaffhauser, Matteo Repetto
Code Augmentation for Detecting Covert Channels Targeting the IPv6 Flow Label. NetSoft (2021)
Marco Zuppelli, Alessandro Carrega, Matteo Repetto
An Effective and Efficient Approach to Improve Visibility Over Network Communications. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12 (4) (2021)
Marco Zuppelli, Luca Caviglione
pcapStego: A Tool for Generating Traffic Traces for Experimenting with Network Covert Channels. ARES (2021)
Alessandro Carrega, Luca Caviglione, Matteo Repetto, Marco Zuppelli
Programmable Data Gathering for Detecting Stegomalware. NetSoft (2020)