@inproceedings{a250ee7b7a7e4657903a35256aa81661,
title = "A high-throughput system architecture for deep packet filtering in network intrusion prevention",
abstract = "Pattern matching is one of critical parts of Network Intrusion Prevention Systems (NIPS). Pattern matching hardware for NIPS should find a matching pattern at wire speed. However, that alone is not good enough. First, pattern matching hardware should be able to generate sufficient pattern match information including the pattern index number and the location of the match found at wire speed. Second, it should support pattern grouping to reduce unnecessary pattern matches. Third, it should show constant worst-case performance even if the number of patterns is increased. Finally it should be able to update patterns in a few minutes or seconds without stopping its operations. We modify Shift-OR hardware accelerator and propose a system architectures to meet the above requirement. Using Xilinx FPGA simulation, we show the new system scaled well to achieve a high speed over 10Gbps and satisfies all of the above requirements.",
author = "Kim, {Dae Y.} and Sunil Kim and Lynn Choi and Hyogon Kim",
year = "2006",
doi = "10.1007/11682127_29",
language = "English",
isbn = "3540327657",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "407--421",
booktitle = "Architecture of Computing Systems - ARCS 2006 - 19th International Conference, Proceedings",
note = "19th International Conference on Architecture of Computing Systems, ARCS 2006 ; Conference date: 13-03-2006 Through 16-03-2006",
}