Springer Nature OA
open access
CC BY-NC-ND 4.0
ZTXPlainaAI an explainable deep learning framework for encrypted traffic anomaly detection in Zero Trust 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
- “Why Should I Trust Your IDS?”: An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks#199729
- Efficient encrypted network traffic management with zero-knowledge proof#229922
- Machine Learning-Based Intrusion Detection Framework for Detecting Security Attacks in Internet of Things#91748
- Attack Prevention in IoT through Hybrid Optimization Mechanism and Deep Learning Framework#696745
- Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review#976541
Record · ID 145121
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