889 citations · 894 across the 13 of their papers we have counts for
12 papers · 1 filter
DroidBreaker: Practical and Functional Problem-Space Attacks on Machine-Learning Android Malware Detectors
Christian Scano, Diego Soi, Angelo Sotgiu +5
Adversarial APKs are Android applications modified in the problem space to evade machine-learning malware detectors. In this work, we first show that, despite claims, existing prob…
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…
An Analysis of Modern Web Security Vulnerabilities Inside WebAssembly Applications
Lorenzo Corrias, Lorenzo Pisu, Davide Maiorca +1
The growth in the adoption of the WebAssembly (WASM) standard has given rise to a rapidly increasing landscape of binary applications that are natively ported to the environment of…
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…
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…
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…