Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.
Many manufacturers struggle to fully leverage IIoT due to outdated data systems infrastructure with unreliable and hackable unsecure connectivity. Traditional networks typically lack the flexibility ...
A beginner-friendly IoT home automation system using NodeMCU ESP8266 and Blynk Cloud. Control up to 4 appliances remotely via smartphone using virtual pins and Wi-Fi. A smart home automation ...
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