معرفی
Simone Aonzo is a Class 2 Lecturer in the Digital Security department at EURECOM, a leading research and education institution in France focused on digital sciences. He is actively engaged in cybersecurity research with a strong emphasis on malware analysis, Android security, and machine learning applications in threat detection.
His research interests span several critical areas in modern cybersecurity, including:
- Android and Windows malware analysis
- Evasive techniques used by malware
- Machine learning vulnerabilities in security systems
- Binary analysis and cryptographic function detection
- Phishing and social engineering attacks
- Security hardening using AI
The trends in his recent publications (2024–2025) reflect a deep focus on adversarial machine learning, evasive malware behaviors, and the application of AI in both offensive and defensive security contexts. His work frequently appears in top security venues such as RAID, NDSS workshops, and IEEE-affiliated conferences, demonstrating his active contribution to the research community.
He has no listed scientific awards in the provided text.
Simone Aonzo is involved in mentoring and training through academic collaborations and educational events such as the PEPR Cybersecurity Winter School. While specific advisees are not listed, his collaborative publications suggest an active role in guiding junior researchers. There is no mention of grants, but his publication output implies ongoing research funding. He also contributes to community knowledge through talks and workshops.
He is associated with the Digital Security research group at EURECOM, which focuses on cutting-edge cybersecurity challenges, including malware analysis, privacy, and system security. The team employs advanced techniques in machine learning, reverse engineering, and automated analysis to study modern threats.
