{"id":"https://openalex.org/W2128567487","doi":"https://doi.org/10.1145/1321753.1321771","title":"Lightweight application classification for network management","display_name":"Lightweight application classification for network management","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W2128567487","doi":"https://doi.org/10.1145/1321753.1321771","mag":"2128567487"},"language":"en","primary_location":{"id":"doi:10.1145/1321753.1321771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1321753.1321771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1321753.1321771","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 SIGCOMM workshop on Internet network management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1321753.1321771","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061448582","display_name":"Hongbo Jiang","orcid":"https://orcid.org/0000-0001-7372-2539"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongbo Jiang","raw_affiliation_strings":["Case Western Reserve Univ., Cleveland, OH","Case Western Reserve University, Cleveland,OH"],"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ., Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]},{"raw_affiliation_string":"Case Western Reserve University, Cleveland,OH","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077257816","display_name":"Andrew W. Moore","orcid":"https://orcid.org/0000-0002-5494-9305"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew W. Moore","raw_affiliation_strings":["University of Cambridge","University of Cambridge,"],"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"University of Cambridge,","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076892155","display_name":"Zihui Ge","orcid":"https://orcid.org/0000-0003-0114-7584"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zihui Ge","raw_affiliation_strings":["Adverplex Inc., Wakefield, MA"],"affiliations":[{"raw_affiliation_string":"Adverplex Inc., Wakefield, MA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102121185","display_name":"Shudong Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shudong Jin","raw_affiliation_strings":["Case Western Reserve Univ., Cleveland, OH","Case Western Reserve University, Cleveland,OH"],"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ., Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]},{"raw_affiliation_string":"Case Western Reserve University, Cleveland,OH","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404643","display_name":"Jia Wang","orcid":"https://orcid.org/0000-0002-3165-7051"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Wang","raw_affiliation_strings":["AT&amp;T Labs Research, Florham Park, NJ"],"affiliations":[{"raw_affiliation_string":"AT&amp;T Labs Research, Florham Park, NJ","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061448582"],"corresponding_institution_ids":["https://openalex.org/I58956616"],"apc_list":null,"apc_paid":null,"fwci":8.2217,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.9736705,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"299","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/netflow","display_name":"NetFlow","score":0.984849214553833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8267086744308472},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.6308157444000244},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.607114851474762},{"id":"https://openalex.org/keywords/deep-packet-inspection","display_name":"Deep packet inspection","score":0.6036874651908875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.576174259185791},{"id":"https://openalex.org/keywords/network-management","display_name":"Network management","score":0.5749397277832031},{"id":"https://openalex.org/keywords/packet-analyzer","display_name":"Packet analyzer","score":0.5055615901947021},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4998769760131836},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47156521677970886},{"id":"https://openalex.org/keywords/network-monitoring","display_name":"Network monitoring","score":0.47083616256713867},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3481580317020416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27152401208877563}],"concepts":[{"id":"https://openalex.org/C188067584","wikidata":"https://www.wikidata.org/wiki/Q219363","display_name":"NetFlow","level":2,"score":0.984849214553833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8267086744308472},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.6308157444000244},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.607114851474762},{"id":"https://openalex.org/C204679922","wikidata":"https://www.wikidata.org/wiki/Q734252","display_name":"Deep packet inspection","level":3,"score":0.6036874651908875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.576174259185791},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.5749397277832031},{"id":"https://openalex.org/C95362637","wikidata":"https://www.wikidata.org/wiki/Q54366","display_name":"Packet analyzer","level":3,"score":0.5055615901947021},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4998769760131836},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47156521677970886},{"id":"https://openalex.org/C81877898","wikidata":"https://www.wikidata.org/wiki/Q1965787","display_name":"Network monitoring","level":2,"score":0.47083616256713867},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3481580317020416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27152401208877563},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/1321753.1321771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1321753.1321771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1321753.1321771","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 SIGCOMM workshop on Internet network management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.131.4362","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.4362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.sigcomm.org/sigcomm2007/inm/papers/inm07-1569047311.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.219.5063","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.5063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cl.cam.ac.uk/~awm22/publications/jiang2007lightweight.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.68.9028","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.9028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vorlon.case.edu/~sxj63/Papers/inm07.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.72.5549","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.5549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vorlon.case.edu/~sxj63/Papers/inm07.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/1321753.1321771","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1321753.1321771","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1321753.1321771","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 SIGCOMM workshop on Internet network management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1143001674","display_name":"UKLIGHT Monitoring and Analysis at many Scales","funder_award_id":"GR/T10510/02","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7091596190","display_name":"IPv4 and IPv6 Performance and QoS - 46PaQ","funder_award_id":"GR/S93714/02","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2128567487.pdf","grobid_xml":"https://content.openalex.org/works/W2128567487.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W202086546","https://openalex.org/W1503632501","https://openalex.org/W1516506771","https://openalex.org/W1519387544","https://openalex.org/W1521553548","https://openalex.org/W1595956053","https://openalex.org/W1860651521","https://openalex.org/W1865180963","https://openalex.org/W1869131361","https://openalex.org/W1896003542","https://openalex.org/W1906136879","https://openalex.org/W1948222530","https://openalex.org/W1953136549","https://openalex.org/W2012095206","https://openalex.org/W2121548585","https://openalex.org/W2122226347","https://openalex.org/W2124924855","https://openalex.org/W2128273889","https://openalex.org/W2130598205","https://openalex.org/W2146708472","https://openalex.org/W2157578436","https://openalex.org/W2160574614","https://openalex.org/W2163395690","https://openalex.org/W2164210932","https://openalex.org/W2171634548","https://openalex.org/W2254126104","https://openalex.org/W2966207845","https://openalex.org/W3146975307","https://openalex.org/W6608166015","https://openalex.org/W6678836955"],"related_works":["https://openalex.org/W2041550843","https://openalex.org/W2537489883","https://openalex.org/W3119500019","https://openalex.org/W2086304464","https://openalex.org/W2128567487","https://openalex.org/W2053550965","https://openalex.org/W2018436679","https://openalex.org/W2377175301","https://openalex.org/W2023141338","https://openalex.org/W2101222264"],"abstract_inverted_index":{"Traffic":[0],"application":[1,97,165],"classification":[2,28,49,162],"is":[3,106,131],"an":[4,110],"essential":[5],"step":[6],"in":[7],"the":[8,31,42,57,135,144],"network":[9,17,20,181],"management":[10,21],"process":[11],"to":[12,108],"provide":[13,109,164],"high":[14,82,170],"availability":[15],"of":[16,26,30,34,46,146,161],"services.":[18],"However,":[19],"has":[22],"seen":[23],"limited":[24],"use":[25],"traffic":[27,48],"because":[29],"significant":[32],"overheads":[33],"existing":[35],"techniques.":[36],"In":[37,54],"this":[38],"context":[39],"we":[40],"explore":[41],"feasibility":[43],"and":[44,65,149,172],"performance":[45],"lightweight":[47,159],"based":[50,67,122],"on":[51],"NetFlow":[52,58,75,90],"records.":[53],"our":[55,102],"experiments,":[56],"records":[59,76,91],"are":[60,78,152],"created":[61],"from":[62],"packet-trace":[63],"data":[64],"pre-tagged":[66],"upon":[68,123],"packet":[69,150],"content.":[70],"This":[71],"provides":[72],"us":[73],"with":[74,80,167],"that":[77,89,101,121,157],"tagged":[79],"a":[81,117,158,168,175],"accuracy":[83,112],"for":[84,96],"ground-truth.":[85],"Our":[86],"experiments":[87],"show":[88],"can":[92,163,173],"be":[93,174],"usefully":[94],"employed":[95],"classification.":[98],"We":[99,155],"demonstrate":[100],"machine":[103,126],"learning":[104,127],"technique":[105],"able":[107],"identification":[111],"(\u2248":[113],"91%)":[114],"that,":[115],"while":[116],"little":[118],"lower":[119],"than":[120,134],"previous":[124],"packet-based":[125],"work":[128],"(>":[129],"95%),":[130],"significantly":[132],"higher":[133],"commonly":[136],"used":[137],"port-based":[138],"approach":[139],"(50--70%).":[140],"Trade-offs":[141],"such":[142],"as":[143],"complexity":[145],"feature":[147],"selection":[148],"sampling":[151],"also":[153],"studied.":[154],"conclude":[156],"mechanism":[160],"information":[166],"considerably":[169],"accuracy,":[171],"useful":[176],"practice":[177],"towards":[178],"more":[179],"effective":[180],"management.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
