L. Regano

Stability and Accuracy Analysis of a Distributed Digital Real-Time Co-simulation Infrastructure

SemVul: Semantic-enhanced graph neural networks for code property graph-based vulnerability detection

This study evaluated existing research approaches and proposed SemVul, a vulnerability detection pipeline that demonstrates better generalization and higher accuracy in learning vulnerable code patterns, and is generic with respect to the programming language and supports multiple architectures.

Merging Cyber Threat Intelligence Through Retrieval-Augmented Generation and Small Language Models for Rich Threat Representation

An automated pipeline is proposed that derives an actionable representation of a cyberattack from heterogeneous CTI sources and produces an enriched Attack Graph that captures a coarse, tactic-aligned progression of the attack and annotates each step with explicit pre-conditions and post-conditions, and an enriched des...