Protocol Analysis
Protocol analysis aims to automatically identify and classify network protocols, improving spectrum utilization, network security, and resource management. Current research heavily utilizes machine learning, particularly deep learning models like Transformers and algorithms such as Support Vector Machines and K-Nearest Neighbors, to analyze signal features and textual specifications of protocols. This field is crucial for addressing challenges like spectrum scarcity and improving the efficiency of 5G and future network technologies, with ongoing efforts focused on developing robust and generalizable methods for both supervised and unsupervised protocol identification.
Papers
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