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Modern network security devices employ packet classification and pattern matching algorithms to inspect packets. Due to the complexity and heterogeneity of different search data structures, it is difficult for existing algorithms to leverage modern hardware platforms to achieve high performance. This paper presents a Structural Compression (SC) method that optimizes the data structures of both algorithms...
Regular expression matching has become a critical yet challenging technique in content-aware network processing, such as application identification and deep inspection. To meet the requirement for processing heavy network traffic at line rate, Deterministic Finite Automata (DFA) is widely used to accelerate regular expression matching at the expense of large memory usage. In this paper, we propose...
With the continual growth of network speed and the increasing sophistication of network applications, keeping network operations efficient and secure becomes more challenging. Pattern matching is one of the key technologies for content-ware network processing, such as traffic classification, application identification and intrusion prevention. In this paper, we propose a hybrid pattern matching algorithm...
Pattern matching and regular expression matching are all the critical components for content inspection based applications. But current regular expression matching algorithms or architecture cannot provide a perfect solution for whole matching problem. In some real network security applications, exact strings are the biggest part of rule set, and the second part is simple regular expressions (dot-star...
Pattern matching is one of the most important components for the content inspection based applications of network security, and it requires well designed algorithms and architectures to keep up with the increasing network speed. For most of the solutions, AC and its derivative algorithms are widely used. They are based on the DFA model but utilize large amount of memory because of so many transition...
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