DBLP
metadata only
An Intelligent Intrusion Detection System in IoV Using Machine Learning and Deep Learning Models.
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
- Hierarchical versus flat machine learning model for intrusion detection in secure IoT healthcare environment#672718
- Federated learning and edge computing-based collaborative detection system for IoT anomaly behavior#474086
- Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP.#288979
- Federated Learning for IoT Intrusion Detection#20524
- Explainable Hybrid Feature Selection for Intrusion Detection in Internet of Medical Things Environments#423877
Record · ID 489709
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