What is -Lora-IOT-Security-Intrusion-Detection-cyber-intelligent-?
-Lora-IOT-Security-Intrusion-Detection-cyber-intelligent- is a security that This project trains supervised machine learning models on the DAD dataset to detect anomalies in MQTT-based IoT traffic. It provides a full training pipeline with SMOTE balancing, recursive feature el. It has a Nerq Trust Score of 63/100 (C). 5 GitHub stars. Published by Unknown. Last analyzed July 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 5 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What -Lora-IOT-Security-Intrusion-Detection-cyber-intelligent- Does
-Lora-IOT-Security-Intrusion-Detection-cyber-intelligent- is a tool in the security category. This project trains supervised machine learning models on the DAD dataset to detect anomalies in MQTT-based IoT traffic. It provides a full training pipeline with SMOTE balancing, recursive feature elimination (RFE), model comparison, and a lightweight Flask UI/REST API for real-time predictions.. It is published by an independent developer and has no specified license. With 5 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use -Lora-IOT-Security-Intrusion-Detection-cyber-intelligent-
-Lora-IOT-Security-Intrusion-Detection-cyber-intelligent- is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | security |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=mahdieslaminet-lora-iot-security-intrusion-detection-cyber-intelligent
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated July 2026. Trust scores based on automated analysis of public data.