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2020 – today
- 2024
[j9]Nunziato Cassavia, Luca Caviglione, Massimo Guarascio
, Angelica Liguori, Marco Zuppelli:
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems. J. Intell. Inf. Syst. 62(4): 925-949 (2024)- [c19]Kai Hölk, Wojciech Mazurczyk, Marco Zuppelli, Luca Caviglione:
Investigating HTTP Covert Channels Through Fuzz Testing. ARES 2024: 19:1-19:9 - [c18]Marco Zuppelli, Massimo Guarascio, Luca Caviglione, Angelica Liguori:
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls. ARES 2024: 78:1-78:8 - [c17]Luca Caviglione, Massimo Guarascio, Francesco Sergio Pisani, Marco Zuppelli:
A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures. EuroS&P Workshops 2024: 731-739 - [c16]Angelica Liguori, Marco Zuppelli, Daniela Gallo, Massimo Guarascio, Luca Caviglione:
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders. ISMIS 2024: 115-125 - [c15]Luca Caviglione, Carmela Comito, Erica Coppolillo, Daniela Gallo, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Minici, Simone Mungari, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo, Paolo Zicari, Marco Zuppelli:
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. Ital-IA 2024: 170-175 - 2023
- [j8]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): 114 (2023) - [j7]Enrico Cambiaso, Luca Caviglione, Marco Zuppelli:
DockerChannel: A framework for evaluating information leakages of Docker containers. SoftwareX 24: 101576 (2023) - [c14]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: 397-402 - [c13]Marco Zuppelli, Matteo Repetto, Luca Caviglione, Enrico Cambiaso:
Information Leakages of Docker Containers: Characterization and Mitigation Strategies. NetSoft 2023: 462-467 - [c12]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: 514-524 - 2022
- [j6]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): 50-67 (2022) - [j5]Luca Caviglione, Andreas Schaffhauser, Marco Zuppelli, Wojciech Mazurczyk:
IPv6CC: IPv6 covert channels for testing networks against stegomalware and data exfiltration. SoftwareX 17: 100975 (2022) - [j4]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): 2282-2294 (2022) - [c11]Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Luca Caviglione, Giuseppe Manco:
Revealing MageCart-like Threats in Favicons via Artificial Intelligence. ARES 2022: 45:1-45:7 - [c10]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: 46:1-46:7 - [c9]Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli:
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems. ISMIS 2022: 209-218 - [c8]Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Giuseppe Manco, Luca Caviglione:
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning. ITASEC 2022: 102-113 - [c7]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: 83-95 - 2021
- [j3]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: 108010 (2021) - [j2]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): 22-36 (2021) - [j1]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): 89-108 (2021) - [c6]Matteo Repetto, Luca Caviglione, Marco Zuppelli:
bccstego: A Framework for Investigating Network Covert Channels. ARES 2021: 68:1-68:7 - [c5]Marco Zuppelli, Luca Caviglione:
pcapStego: A Tool for Generating Traffic Traces for Experimenting with Network Covert Channels. ARES 2021: 95:1-95:8 - [c4]Marco Zuppelli, Luca Caviglione, Matteo Repetto:
Detecting Covert Channels Through Code Augmentation. ITASEC 2021: 133-144 - [c3]Marco Zuppelli, Giuseppe Manco, Luca Caviglione, Massimo Guarascio:
Sanitization of Images Containing Stegomalware via Machine Learning Approaches. ITASEC 2021: 374-386 - [c2]Luca Caviglione, Marco Zuppelli, Wojciech Mazurczyk, Andreas Schaffhauser, Matteo Repetto:
Code Augmentation for Detecting Covert Channels Targeting the IPv6 Flow Label. NetSoft 2021: 450-456 - 2020
- [c1]Alessandro Carrega, Luca Caviglione, Matteo Repetto, Marco Zuppelli:
Programmable Data Gathering for Detecting Stegomalware. NetSoft 2020: 422-429
Coauthor Index
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last updated on 2024-10-09 20:29 CEST by the dblp team
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