Cyber threat analysis and detection
| Componente | Qualifica | Struttura | Categoria |
|---|---|---|---|
| Daniele Cono D'Elia | Assegnista | Sapienza Università di Roma | Altro personale aggregato Sapienza o esterni, titolari di borse di studio di ricerca |
| Emilio Coppa | Assegnista | Sapienza Università di Roma | Altro personale aggregato Sapienza o esterni, titolari di borse di studio di ricerca |
A growing wave of cyber attacks is threatening our digitally-reliant society. Recognizing the strong prevalence of evasive malware in cyber attacks, within this project we propose to develop tools and techniques for threat intelligence, analysis, and detection that address some of the most challenging endeavors in analyzing modern malware. We will focus on designing malware analysis techniques that are resilient to adversarial manipulations according to three main goals that comprise the development of (1) static analysis techniques to identify behavioral code features among malicious samples that actively try to hide their similarities; (2) robust dynamic analysis techniques for evasive malware; (3) malware mitigation techniques that make use of the results of goals 1-2 in order to provide better resilience against modern, evasive malware.