ZUPPELLI, MARCO

ZUPPELLI, MARCO  

Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -  

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Risultati 1 - 20 di 27 (tempo di esecuzione: 0.024 secondi).
Titolo Data di pubblicazione Autore(i) File
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders 1-gen-2024 Liguori, Angelica; Zuppelli, Marco; Gallo, Daniela; Guarascio, Massimo; Caviglione, Luca
A Federated Approach for Detecting Data Hidden in Icons of Mobile Applications Delivered via Web and Multiple Stores 1-gen-2023 Nunziato Cassavia; Luca Caviglione; Massimo Guarascio; Angelica Liguori; Giuseppe Manco; Marco Zuppelli
DockerChannel: A Framework for Evaluating Information Leakages of Docker Containers 1-gen-2023 Cambiaso, Enrico; Caviglione, Luca; Zuppelli, Marco
Information Leakages of Docker Containers: Characterization and Mitigation Strategies 1-gen-2023 Marco Zuppelli; Matteo Repetto; Luca Caviglione; Enrico Cambiaso
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems 1-gen-2023 Cassavia, Nunziato; Caviglione, Luca; Guarascio, Massimo; Liguori, Angelica; Zuppelli, Marco
ORISHA: Improving Threat Detection through Orchestrated Information Sharing 1-gen-2023 L. Caviglione; C. Comito; M. Guarascio; G. Manco; F. S. Pisani; M. Zuppelli
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities 1-gen-2023 Angelica Liguori; Simone Mungari; Marco Zuppelli; Carmela Comito; Enrico Cambiaso; Matteo Repetto; Massimo Guarascio; Luca Caviglione; Giuseppe Manco
Are We Protected Against Network Covert Channels? 1-gen-2022 Zuppelli, Marco
Code Layering for the Detection of Network Covert Channels in Agentless Systems 1-gen-2022 Zuppelli, M; Repetto, M; Schaffhauser, A; Mazurczyk, W; Caviglione, L
Detection of Malicious Images in Production-Quality Scenarios with the SIMARGL Toolkit 1-gen-2022 Caviglione, Luca; Grabowski, Martin; Gutberlet, Kai; Marzecki, Adrian; Zuppelli, Marco; Schaffhauser, Andreas; Mazurczyk, Wojciech
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning 1-gen-2022 Massimo Guarascio; Marco Zuppelli; Nunziato Cassavia; Giuseppe Manco; Luca Caviglione
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning 1-gen-2022 Cassavia, N; Caviglione, L; Guarascio, M; Manco, G; Zuppelli, Marco
Efficient Detection and Recovery of Malicious PowerShell Scripts Embedded into Digital Images 1-gen-2022 A. Schaffhauser; W. Mazurczyk; L. Caviglione; M. Zuppelli; J. HernandezCastro
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems 1-gen-2022 Nunziato Cassavia; Luca Caviglione; Massimo Guarascio; Angelica Liguori;Marco Zuppelli
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons 1-gen-2022 Nunziato Cassavia; Luca Caviglione; Massimo Guarascio; Angelica Liguori; Giuseppe Surace; Marco Zuppelli
IPv6CC: IPv6 Covert Channels for Testing Networks Against Stegomalware and Data Exfiltration 1-gen-2022 Caviglione, L; Schaffhauser, A; Zuppelli, M; Mazurczyk, W
Revealing MageCart-like Threats in Favicons via Artificial Intelligence 1-gen-2022 Massimo Guarascio; Marco Zuppelli; Nunziato Cassavia; Luca Caviglione; Giuseppe Manco
Strumenti Intelligenti per Threat Detection e Response 1-gen-2022 Pisani, FRANCESCO SERGIO; Biasotti, Silvia; Cassavia, Nunziato; Caviglione, Luca; Folino, Gianluigi; Guarascio, Massimo; Manco, Giuseppe; Zuppelli, Marco
An Effective and Efficient Approach to Improve Visibility Over Network Communications 1-gen-2021 Zuppelli, Marco; Carrega, Alessandro; Repetto, Matteo
bccstego: A Framework for Investigating Network Covert Channels 1-gen-2021 M. Repetto; L. Caviglione; M. Zuppelli