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Network traffic classification is critical to both network management and security. Identifying application traffic at the flow level with signature matching has been widely used as the most efficient method due to its reliability and robustness. However, due to the increasing number of applications and their frequent updates, we have to constantly regenerate application signatures, which is both...
Network security has become an increasingly important yet challenging issue in present production networks. State-of-the-art solutions cannot meet the overall requirements of high-efficiency security, due to the complicated configuration demands, heavy network traffic and ever-increasing network scale. In this paper, we present Live Sec, a scalable and flexible security management architecture, which...
Classifying encrypted traffic is critical to effective network analysis and management. While traditional payload- based methods are powerless to deal with encrypted traffic, machine learning methods have been proposed to address this issue. However, these methods often bring heavy overhead into the system. In this paper, we propose a hybrid method that combines signature-based methods and statistical...
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