EDBT 2026 Demo / reviewers in the wild / expert
Yusuf Kursat Tuncel
dblp:310/2853
· DBLP profile ↗
4ranked-venue papers in the field
2as first author
4since 2021 · last 2025
0000-0002-3585-129XORCID · corroborated
Domains — venue-derived; a paper can count in several
Big Data, Cloud & Distributed Data Systems · 4 (2 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Passive Monitoring-Based Security Barometer: Determining Trust Levels and User Classification Through Risk Assessment
Muhammet Furkan Atalay, Kasim Oztoprak, Yusuf Kursat Tuncel |
IEEE Big Data | 3 |
| 2025 | Explainable Anomaly Detection Framework for Electronic Health Record Access Logs
Sabriye Nur Senturk, Damla Uslu, Enes Furkan Ozdemir, Reza Hassanpour, Kasim Oztoprak, Yusuf Kursat Tuncel |
IEEE Big Data | 6 |
| 2025 | Securing Agricultural IoT Networks: Adapting SAFE-CAST Framework for LoRa-Based Smart Farming Applications
Yusuf Kursat Tuncel, Kasim Oztoprak, Reza Hassanpour |
IEEE Big Data | 1 |
| 2024 | Federated Orchestration Framework for Integrated Core and Edge Network Security: Combining P4-ShieldNet and SAFE-CASTabstractThis paper introduces a Federated Orchestration Framework that integrates P4-ShieldNet for core network security with SAFE-CAST for edge security, addressing the complex challenges in modern telecommunication networks. Our approach combines programmable data planes with distributed intelligence, providing a comprehensive security solution from core to edge. Simulations demonstrate significant improvements over traditional methods and standalone implementations, achieving 97% threat detection accuracy, 80% faster response times, and support for up to 50,000 devices. The framework incorporates cross-domain security coordination, federated learning, and intent-based policies, paving the way for adaptive, self-defending networks suitable for next-generation 5G and 6G infrastructures. Yusuf Kursat Tuncel, Kasim Oztoprak |
IEEE Big Data | 1 |