Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A property-based technique for tolerating faults in bloom filters for deep packet inspection

Full metadata record
DC Field Value Language
dc.contributor.authorChoi, Y.-H.-
dc.contributor.authorLee, M.-H.-
dc.date.accessioned2022-01-14T09:42:06Z-
dc.date.available2022-01-14T09:42:06Z-
dc.date.created2022-01-14-
dc.date.issued2007-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/24187-
dc.description.abstractIn network security applications, such as network intrusion detection, string matching is used to scan packets to detect malicious content. Bloom filters have drawn a great attention due to the fact that they can provide constant lookup times at the cost of small false positives. A fault in Bloom filters, however, cannot guarantee no-false-negatives. In this paper, we present a property-based technique for tolerating faults in Bloom filters for deep packet inspection. It employs a single spare hashing unit in each Bloom filter to detect and eliminate false negatives until the spare itself is faulty. The design is simple to be implemented in hardware. Moreover, the process for eliminating false negatives can be done without reducing the system throughput. © Springer-Verlag Berlin Heidelberg 2007.-
dc.language영어-
dc.language.isoen-
dc.publisherSpringer Verlag-
dc.titleA property-based technique for tolerating faults in bloom filters for deep packet inspection-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, Y.-H.-
dc.identifier.doi10.1007/978-3-540-73547-2_55-
dc.identifier.scopusid2-s2.0-38049022228-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4610 LNCS, pp.539 - 548-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume4610 LNCS-
dc.citation.startPage539-
dc.citation.endPage548-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Department of General Studies > Department of General Studies > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE