Intelligent Cyber-Security System for IoT-Aided Drones Using Voting Classifier

Developments in drones have opened new trends and opportunities different fields, particularly small drones. Drones provide interlocation services for navigation, this interlink is provided by the Internet of Things (IoT). However, architectural issues make drone networks vulnerable to privacy security threats. It critical a safe secure network acquire desired performance. Small are finding paths progress civil defense industries, but also posing challenges as well. The basic design requires modification its data transformation mechanisms, it not yet fulfilling domain requirements. This paper aims investigate recent that affecting (IoD). study highlights need free from interceptions intrusions. proposed framework mitigates cyber threats employing intelligent machine learning models IoT-aided making them adaptable. Finally, model evaluated on benchmark dataset shows robust results.