OpenAlex
metadata only
CC BY-NC-ND 4.0
A Situation Based Predictive Approach for Cybersecurity Intrusion Detection and Prevention Using Machine Learning and Deep Learning Algorithms in Wireless Sensor Networks of Industry 4.0
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
- Cybersecurity challenges in Industry 4.0: A state of the art review#1179101
- Harnessing multimodal deep representation with dimensionality reducing approach for enhanced intrusion detection system in internet of things networks.#1144
- Machine Learning-Based Intrusion Detection Framework for Detecting Security Attacks in Internet of Things#91748
- A comprehensive survey on intrusion detection systems with advances in machine learning, deep learning and emerging cybersecurity challenges#339534
- Artificial Intelligence in Cybersecurity: Revolutionizing Threat Detection and Response#731966
Record · ID 671847
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