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13:23
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Published in ACNS 2025 - Reproducibility artifacts for the paper "ProvDP: Differential Privacy for System Provenance Datasets"
Code and data for the paper _ProvIoT: Detecting Stealthy Attacks in IoT through Federated Edge-Cloud Security__.
Evading Provenance-Based ML Detectors with Adversarial System Actions
Reassembly is Hard: A Reflection on Challenges and Strategies (USENIX Security '23)
All Algorithms implemented in Python
This is the network diagrams, configuration guides, and hardware used for my home lab.
Deploy your development pipeline today! Fully functioning jenkins, sonarqube, and reverse proxy with https certs.
study material used for the 2018 CISSP exam
This is my cheatsheet and scripts developed while taking the Offensive Security Penetration Testing with Kali Linux course.