Springer Nature OA
open access
CC BY-NC-ND 4.0
A unified cross-domain framework for DDoS detection across IoT, cloud, and SDN networks
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Software-Defined Networking powered by AI-driven Anomaly Detection#311316
- FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks#429291
- Enhanced cybersecurity solution via distributed denial of service attack recognition and attribute subset selection#1159931
- Cross-Domain Joint DDoS Detection in Multi-Controller SDN via Confidence-Based Entropy Fusion#463160
- TopoSleuth, a decoy-based multi-layered defense framework for securing SDN topology discovery.#1202
Record · ID 228816
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive