OpenAlex
metadata only
CC BY 4.0
An Efficient CNN-Based Intrusion Detection System for IoT: Use Case Towards Cybersecurity
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
- A Cross-Dataset based Zero-Day Intrusion Detection System by Integrating Siamese Network and Reinforcement Learning#1062018
- Machine Learning-Based Intrusion Detection Framework for Detecting Security Attacks in Internet of Things#91748
- Fed fusion-IDS: a privacy-preserving federated intrusion detection system with multi-objective feature optimization and explainable deep learning#977392
- Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection#199680
- Attack Prevention in IoT through Hybrid Optimization Mechanism and Deep Learning Framework#696745
Record · ID 672003
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