Programmable Data Gathering for Detecting Stegomalware. - Alessandro Carrega; Luca Caviglione; Matteo Repetto; Marco Zuppelli (NetSoft, 2020)

bccstego: A Framework for Investigating Network Covert Channels. - Matteo Repetto; Luca Caviglione; Marco Zuppelli (ARES, 2021)

pcapStego: A Tool for Generating Traffic Traces for Experimenting with Network Covert Channels. - Marco Zuppelli; Luca Caviglione (ARES, 2021)

Sanitization of Images Containing Stegomalware via Machine Learning Approaches. - Marco Zuppelli; Giuseppe Manco 001; Luca Caviglione; Massimo Guarascio 001 (ITASEC, 2021)

Detecting Covert Channels Through Code Augmentation. - Marco Zuppelli; Luca Caviglione; Matteo Repetto (ITASEC, 2021)

Code Augmentation for Detecting Covert Channels Targeting the IPv6 Flow Label. - Luca Caviglione; Marco Zuppelli; Wojciech Mazurczyk; Andreas Schaffhauser; Matteo Repetto (NetSoft, 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)

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)

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)

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 (ARES, 2022)

Revealing MageCart-like Threats in Favicons via Artificial Intelligence. - Massimo Guarascio 001; Marco Zuppelli; Nunziato Cassavia; Luca Caviglione; Giuseppe Manco 001 (ARES, 2022)

Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems. - Nunziato Cassavia; Luca Caviglione; Massimo Guarascio 001; Angelica Liguori; Marco Zuppelli (ISMIS, 2022)

Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning. - Massimo Guarascio 001; Marco Zuppelli; Nunziato Cassavia; Giuseppe Manco 001; Luca Caviglione (ITASEC, 2022)

Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons. - Nunziato Cassavia; Luca Caviglione; Massimo Guarascio 001; Angelica Liguori; Giuseppe Surace; Marco Zuppelli (PerSOM, 2022)

Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning. - Nunziato Cassavia; Luca Caviglione; Massimo Guarascio 001; Giuseppe Manco 001; Marco Zuppelli (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022)

IPv6CC: IPv6 covert channels for testing networks against stegomalware and data exfiltration. - Luca Caviglione; Andreas Schaffhauser; Marco Zuppelli; Wojciech Mazurczyk (SoftwareX, 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)

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 001; Luca Caviglione; Giuseppe Manco 001 (Ital-IA, 2023)

Information Leakages of Docker Containers: Characterization and Mitigation Strategies. - Marco Zuppelli; Matteo Repetto; Luca Caviglione; Enrico Cambiaso (NetSoft, 2023)

ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). - Luca Caviglione; Carmela Comito; Massimo Guarascio 001; Giuseppe Manco 001; Francesco Sergio Pisani; Marco Zuppelli (SEBD, 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 001; Angelica Liguori; Giuseppe Manco 001; Marco Zuppelli (Soc. Netw. Anal. Min., 2023)

DockerChannel: A framework for evaluating information leakages of Docker containers. - Enrico Cambiaso; Luca Caviglione; Marco Zuppelli (SoftwareX, 2023)

Investigating HTTP Covert Channels Through Fuzz Testing. - Kai Hölk; Wojciech Mazurczyk; Marco Zuppelli; Luca Caviglione (ARES, 2024)

No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls. - Marco Zuppelli; Massimo Guarascio 001; Luca Caviglione; Angelica Liguori (ARES, 2024)

A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures. - Luca Caviglione; Massimo Guarascio 001; Francesco Sergio Pisani; Marco Zuppelli (EuroS&P Workshops, 2024)

Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders. - Angelica Liguori; Marco Zuppelli; Daniela Gallo; Massimo Guarascio 001; Luca Caviglione (ISMIS, 2024)

Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. - Luca Caviglione; Carmela Comito; Erica Coppolillo; Daniela Gallo; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Marco Minici; Simone Mungari; Francesco Sergio Pisani; Ettore Ritacco; Antonino Rullo; et al. (Ital-IA, 2024)

Mitigation of Covert Communications in MQTT Topics Through Small Language Models. - Camilla Cespi Polisiani; Marco Zuppelli; Maria Carla Calzarossa; Luca Caviglione; Massimo Guarascio 001 (MASCOTS, 2024)

Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems. - Nunziato Cassavia; Luca Caviglione; Massimo Guarascio 001; Angelica Liguori; Marco Zuppelli (J. Intell. Inf. Syst., 2024)

Improving MQTT Security Through the Generation of Malicious Test Cases. - Camilla Cespi Polisiani; Maria Carla Calzarossa; Marco Zuppelli; Luca Caviglione; Massimo Guarascio 001 (ITASEC/SERICS, 2025)

On the Feasibility of Android Stegomalware: A Detection Study. - Diego Soi; Silvia Lucia Sanna; Angelica Liguori; Marco Zuppelli; Leonardo Regano; Davide Maiorca; Luca Caviglione; Giuseppe Manco 001; Giorgio Giacinto (ITASEC/SERICS, 2025)