A study on Prototype Jammer System

This paper describes a jamming attack system that can be utilized to develop or evaluate jamming detection techniques. Recent jamming detection technologies utilize machine learning techniques to learn patterns of jamming types to generate jamming detection models, which are then applied to real-world environments to determine the presence of jamming attacks on real traffic data. Therefore, there is a need to develop a jamming attack system to generate training and test data for jamming detection models. To this end, we describe the structure, implementation, and verification of the jamming system, and then presents an expandable and switchable system structure that is easy to add and supplement functions.