Master of Science, Cybersecurity Engineering
Turin, Italy
MSc Cyber Security Engineering (LM-32). An English-taught, ECSO-aligned programme spanning systems, network, application, hardware, AI, cryptography, forensics, verification, and cybersecurity governance.
- Systems security research: Triaged 60 eBPF vulnerability patches and analyzed five Linux 6.8 cases from source to runtime, confirming one verifier taint-tracking bypass and one bounded 54-byte intra-packet overflow without claiming kernel RCE or privilege escalation.
- AI for cybersecurity: Trained and evaluated neural, graph, sequence, anomaly-detection, and transformer pipelines. Selected results include 0.82 test macro F1 for the strongest malware models, 92% anomaly recall, and a shortcut-learning test in which Brute Force recall fell from 94% to 5% after one destination-port pattern changed.
- Applied security engineering: Built work across secure web authorization, VPN architectures, GNSS spoofing analysis, digital forensics, QEMU emulation, FreeRTOS, MPU concepts, and ARM Cortex-M systems.
- Master’s research at Huawei: Researching policy-based anonymous tokens for privacy-preserving authorization at Huawei Research, Data and Privacy Protection Lab. The work covers scoped policy, quota, endpoint, and tool-call checks, and studies how the privacy-enhancing technology can be applied to authorization in Agentic AI workflows.
