Giuseppe Manco
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Marco Zuppelli
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On the Feasibility of Android Stegomalware: A Detection Study
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper)
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning
Revealing MageCart-like Threats in Favicons via Artificial Intelligence
Sanitization of Images Containing Stegomalware via Machine Learning Approaches
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