activity
20242026
most citedA Risk Estimation Study of Native Code Vulnerabilities in Android Applications

8 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CR2026

MoLIFE: Methodology, Technologies, and Challenges for Mobile Live Intelligent Forensics Examination

Silvia Lucia Sanna, Cristina Alcaraz, Alessandro Sanna +2

Nowadays, mobile forensics is less explored in Digital Forensics case analysis due to the increase in data protection mechanisms implemented by tech companies (i.e., Google for And…

cs.CR2026

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…

cs.CR2026

An Explainable Memory Forensics Approach for Malware Analysis

Silvia Lucia Sanna, Davide Maiorca, Giorgio Giacinto

Memory forensics is an effective methodology for analyzing living-off-the-land malware, including threats that employ evasion, obfuscation, anti-analysis, and steganographic techni…

cs.CR2026

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…

cs.CR2025★ 1 cited

Improving Cybercrime Detection and Digital Forensics Investigations with Artificial Intelligence

Silvia Lucia Sanna, Leonardo Regano, Davide Maiorca +1

According to a recent EUROPOL report, cybercrime is still recurrent in Europe, and different activities and countermeasures must be taken to limit, prevent, detect, analyze, and fi…

cs.CR2025

Are Trees Really Green? A Detection Approach of IoT Malware Attacks

Silvia Lucia Sanna, Diego Soi, Davide Maiorca +1

Nowadays, the Internet of Things (IoT) is widely employed, and its usage is growing exponentially because it facilitates remote monitoring, predictive maintenance, and data-driven…

cs.CV2024★ 3 cited

Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study

Silvia Lucia Sanna, Leonardo Regano, Davide Maiorca +1

Nowadays, many tools are used to facilitate forensic tasks about data extraction and data analysis. In particular, some tools leverage Artificial Intelligence (AI) to automatically…

cs.CR2024★ 8 cited

A Risk Estimation Study of Native Code Vulnerabilities in Android Applications

Silvia Lucia Sanna, Diego Soi, Davide Maiorca +2

Android is the most used Operating System worldwide for mobile devices, with hundreds of thousands of apps downloaded daily. Although these apps are primarily written in Java and K…