• Funding source: National Research Foundation
• Program: Mid-Career Researcher Program Type 1-2
• Period: 2023.3.1-2028.2.29
• Budget: One billion KRW for five years

Research statement: From a network security perspective, one of the most important recent trends is “In-Network Defense”. In addition to endpoint security and perimeter security, which have been the focus to date, there is a new trend of enabling security functions in the backbone network. Moving away from the current perspective that defines the role of the network as performing only routing functions, the network is being asked to perform more advanced functions from a security perspective, which essentially foreshadows the emergence of routers equipped with artificial intelligence models. Along with the rapid development of deep learning in most fields of IT and the growing importance of data analysis using AI/ML technologies, various attempts have been made to enable routers with AI models to analyze network traffic on a per-flow basis to perform security functions. However, performing AI models within the router without delaying the delivery of large numbers of high-speed packets is not feasible by current technologies. Therefore, it is our goal to develop a self-driving router that performs AI models in real time and autonomously performs security-related functions.