5 papers
Beyond the Syntax: Do Security Experts Trust LLMs for NIDS Rule Engineering?
Lorenzo di Filippo, Enkeleda Bardhi, Andrea Agiollo +3
As network threats evolve, manual NIDS rule engineering has become a critical operational bottleneck. While Large Language Models (LLMs) show promise for automating this process, t…
SoK: Harmonizing Attack Graphs and Intrusion Detection Systems
Andrea Agiollo, Enkeleda Bardhi, Alessandro Palma +3
Detecting and responding to cyber attacks is increasingly difficult as high-volume, complex network traffic allows threats to remain concealed. While Intrusion Detection Systems (I…
Integrating Machine Learning into Belief-Desire-Intention Agents: Current Advances and Open Challenges
Andrea Agiollo, Andrea Omicini
Thanks to the remarkable human-like capabilities of machine learning (ML) models in perceptual and cognitive tasks, frameworks integrating ML within rational agent architectures ar…
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo +2
In this paper we focus on the opacity issue of sub-symbolic machine learning predictors by promoting two complementary activities, namely, symbolic knowledge extraction (SKE) and i…
Large language models as oracles for instantiating ontologies with domain-specific knowledge
Giovanni Ciatto, Andrea Agiollo, Matteo Magnini +1
Background. Endowing intelligent systems with semantic data commonly requires designing and instantiating ontologies with domain-specific knowledge. Especially in the early phases,…