Background

Education shaped by hands-on inquiry.

Politecnico di Torino logo

Master of Engineering, Cybersecurity Engineering

Politecnico di Torino - Turin, Italy

Sep 2024 - Oct 2026

GPA 29.48/30

MSc Cyber Security Engineering (LM 32). English-taught, ECSO-aligned curriculum.

My training is grounded in applied security research, with a 29.48/30 GPA and a thesis on post-quantum policy-based anonymous tokens at Huawei Research.

  • Kernel vulnerability research: I performed a deep security analysis of Linux kernel 6.8 eBPF verifier logic and developed PoC exploits for 5 confirmed vulnerabilities.
  • AI for cybersecurity: I engineered a multi-model threat detection suite with FFNN, GNN, RNN, autoencoder, BERT, and UniXcoder pipelines, including reported 98.1% malware accuracy and 97.5% network-flow accuracy.
  • NLP-based detection: I mapped SSH/Bash command sessions to MITRE ATT&CK tactics using classical ML, Doc2Vec, BERT, and UniXcoder experiments.
  • Wireless and hardware security: I completed labs across GNSS spoofing analysis, WiFi measurement, NXP S32K3 emulation, FreeRTOS, MPU concepts, QEMU, and ARM Cortex-M workflows.
  • Post-quantum thesis: I am researching post-quantum policy-based anonymous tokens for privacy-preserving authorization, including scoped policy, quota, endpoint, and tool-call checks.
Politecnico di Torino city and campus context

Post-Quantum Policy-Based Anonymous Tokens: Design, Implementation, and Policy-Layer Overhead Evaluation

My thesis compares a plain anonymous-token baseline with a policy-bound variant to isolate the overhead of tag-bound authorization and unlinkability in a post-quantum proof framework.

Universita degli Studi del Sannio logo

Bachelor of Engineering, Computer Engineering

Universita degli Studi del Sannio-Benevento - Benevento, Italy

Sep 2021 - Jun 2024

101/110

BSc in Computer Science Engineering (L-8).

Thesis research: Extracting Equivocal Behaviours from Trusted Systems.

  • Sandbox orchestration engineering: I designed and implemented an asynchronous multithreaded Python orchestrator to coordinate Hybrid Analysis, VirusTotal, and ANY.RUN sandbox analysis across Windows 10 and 11.
  • Behavioral taxonomy mapping: I defined and mapped 12 Equivocal Software Behaviours directly to the MITRE ATT&CK Enterprise Matrix.
  • Detection outcome: I detected system reconnaissance and advanced OS utility exploitation in 100% of analyzed trusted systems, exposing silent telemetry and hidden attack vectors.
Unisannio city and course context
Zenodo publication record

Extracting Equivocal Behaviours from Trusted Systems

My capstone addressed software supply chain security by identifying undocumented or malicious behaviours hidden in trusted software and validating findings with reproducible sandbox-based analysis. The work is publicly archived on Zenodo with DOI 10.5281/zenodo.19262869.