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Design contest overview: Combined architecture for network stream categorization and intrusion detection (CANSCID)

Authors: Michael Pellauer; Abhinav Agarwal; Asif Khan 0005; Man Cheuk Ng; Muralidaran Vijayaraghavan; Forrest Brewer; Joel S. Emer;

Design contest overview: Combined architecture for network stream categorization and intrusion detection (CANSCID)

Abstract

This year we received 8 submissions for our Deep Packet Inspection problem. 6 submissions used FPGAs, and 2 used GP-GPUs. The organizers find it significant that no team submitted a software-only solution that did not use some kind of hardware accelerator— an indication that software alone could not meet the required line rate. This year the contest ended in a tie. Congratulations to the joint winners, Team Sasao Lab and Team Limenators, each having implemented 140 patterns while maintaining line rate. Additionally, Team Sasao Lab was the only team to use an NFA approach rather than DFAs for matching the regular expressions. Full results are given in Table II. The performance of the two winners was verified by the organizers using undisclosed test inputs. The performance of the other teams is self-reported.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
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