42 citations · 47 across the 14 of their papers we have counts for
6 papers · 1 filter
Merging Cyber Threat Intelligence Through Retrieval-Augmented Generation and Small Language Models for Rich Threat Representation
Nicola Deidda, Leonardo Regano, Alessandro Sanna +2
Modern cybersecurity operations rely on CTI collected from heterogeneous sources, including semi-structured threat representations, IoCs, and narrative technical reports. However,…
SemVul: Semantic-Enhanced Graph Neural Networks for Code Property Graph-based Vulnerability Detection
Younas Affan, Leonardo Regano, Giorgio Giacinto
Vulnerabilities in source code are often the root cause of cyberattacks worldwide, as attackers exploit weaknesses in software to gain unauthorized access, steal data, or disrupt s…
The Sound of Malware: A Memory Forensics Approach for Android Malware Analysis via Audio Signals
Silvia Lucia Sanna, Massimo Palozzi, Leonardo Regano +2
Android malware analysis is currently facing increasing challenges in achieving robust classification and detecting stealth attacks. Modern threats employ advanced evasion strategi…
Obfuscating Code Vulnerabilities against Static Analysis in JavaScript Code
Francesco Pagano, Lorenzo Pisu, Leonardo Regano +3
Code obfuscation is widely adopted in modern software development to protect intellectual property and hinder reverse engineering, but it also provides attackers with a powerful me…
Statistical Effort Modelling of Game Resource Localisation Attacks
Alessandro Sanna, Waldo Verstraete, Leonardo Regano +2
Evidence on the effectiveness of Man-At-The-End (MATE) software protections, such as code obfuscation, has mainly come from limited empirical research. Recently, however, an automa…
AndroWasm: an Empirical Study on Android Malware Obfuscation through WebAssembly
Diego Soi, Silvia Lucia Sanna, Lorenzo Pisu +2
In recent years, stealthy Android malware has increasingly adopted sophisticated techniques to bypass automatic detection mechanisms and harden manual analysis. Adversaries typical…