CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH374
DOI: 10.1109/saint.2004.1266123
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A multi-dimensional packet classifier for NP-based firewalls

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Cited by 4 publications
(3 citation statements)
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“…The classifier processes the five main header fields, as typically adopted in the literature and in real classifiers [21] for identifying a microflow: the IP destination and source addresses, and layer 4 destination and source ports and protocol type. Moreover, we have modified the original version of the algorithm [22] to address the hardware platform constraints, especially in terms of memory consumption. In detail, to decrease the memory requirements when there is a rule with non-specified parts, the asterisk-state has been created: it includes all the states hidden by the wild-card in a field specification, without the need for nodes explosion.…”
Section: -Es Application Schemementioning
confidence: 99%
“…The classifier processes the five main header fields, as typically adopted in the literature and in real classifiers [21] for identifying a microflow: the IP destination and source addresses, and layer 4 destination and source ports and protocol type. Moreover, we have modified the original version of the algorithm [22] to address the hardware platform constraints, especially in terms of memory consumption. In detail, to decrease the memory requirements when there is a rule with non-specified parts, the asterisk-state has been created: it includes all the states hidden by the wild-card in a field specification, without the need for nodes explosion.…”
Section: -Es Application Schemementioning
confidence: 99%
“…Rashti et al [8] present a multidimensional packet classifier engine for NP-based firewalls, established on a hierarchical trie algorithm and on a technique of memory usage optimization. Srinivasan and Feng [9] study the performance of two different design mappings of the bit vector algorithm on the Intel IXP1200 NP.…”
Section: Related Workmentioning
confidence: 99%
“…Concerning the fulfillment of a classification engine on top of NPs, Kounavis et al [7] analyze several databases of classification rules and derive their statistical properties, in order to suggest a classification architecture to be implemented efficiently on NPs. Rashti et al [8] present a multidimensional packet classifier engine for NP-based firewalls, established on a hierarchical trie algorithm and on a technique of memory usage optimization. Srinivasan and Feng [9] study the performance of two different design mappings of the bit vector algorithm on the Intel IXP1200 NP.…”
Section: Related Workmentioning
confidence: 99%