Enhanced Wireless Network Security and Efficiency based on Radio Fingerprint Frequency using Machine Learning Techniques

In today’s connected world, almost everyone has at least one internet-connected device. With the number of these devices on the rise, it is important to implement a security strategy to minimize their potential for exploitation. Internet-connected devices may be used by nefarious entities to collect personal information, steal identities, and compromise financial data. we use Machine Learning techniques. Radio Frequency (RF) fingerprinting is a technique that allows the identification of radio transmitters by analyzing the spectrum of their transmissions. Small imperfections in the electromagnetic emissions of radio transmitters make it possible to identify them based only on the way they transmit. This is called Radio Frequency (RF) fingerprinting Indeed a device’s spectrum is unique because of tiny imperfections in the manufacturing process of its analog components. Analyzing a device’s spectrum can typically be done using machine learning algorithms. It will give more accuracy compared to the previous system