Рет қаралды 5
Discover my paper presentation, UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats, delivered as part of my college conference assessment at UNCC. This innovative project tackles the critical challenge of detecting Advanced Persistent Threats (APTs) using a cutting-edge approach combining provenance-based detection, graph sketching, and dynamic behavioral modeling. Learn how UNICORN outperforms traditional systems with real-time detection, scalability, and an impressive 99% accuracy rate. Watch to explore how this work advances cybersecurity and its potential to revolutionize threat detection systems. Let me know your thoughts and questions in the comments!