{"id":"https://openalex.org/W2130542987","doi":"https://doi.org/10.1145/1016687.1016691","title":"A wavelet-based framework for proactive detection of network misconfigurations","display_name":"A wavelet-based framework for proactive detection of network misconfigurations","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2130542987","doi":"https://doi.org/10.1145/1016687.1016691","mag":"2130542987"},"language":"en","primary_location":{"id":"doi:10.1145/1016687.1016691","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1016687.1016691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM workshop on Network troubleshooting research, theory and operations practice meet malfunctioning reality - NetT '04","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034506480","display_name":"Antonio Magnaghi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Antonio Magnaghi","raw_affiliation_strings":["Fujitsu Laboratories of America, Sunnyvale, CA","Fujitsu Labs. of America, Sunnyvale, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories of America, Sunnyvale, CA","institution_ids":["https://openalex.org/I4210094759"]},{"raw_affiliation_string":"Fujitsu Labs. of America, Sunnyvale, CA#TAB#","institution_ids":["https://openalex.org/I4210094759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060849389","display_name":"Takeo Hamada","orcid":"https://orcid.org/0000-0001-8058-4728"},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Takeo Hamada","raw_affiliation_strings":["Fujitsu Laboratories of America, Sunnyvale, CA","Fujitsu Labs. of America, Sunnyvale, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories of America, Sunnyvale, CA","institution_ids":["https://openalex.org/I4210094759"]},{"raw_affiliation_string":"Fujitsu Labs. of America, Sunnyvale, CA#TAB#","institution_ids":["https://openalex.org/I4210094759"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088902870","display_name":"Tsuneo Katsuyama","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuneo Katsuyama","raw_affiliation_strings":["Fujitsu Laboratories Ltd., Kawasaki, Japan","FUJITSU LABORATORIES LTD. Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"FUJITSU LABORATORIES LTD. Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034506480"],"corresponding_institution_ids":["https://openalex.org/I4210094759"],"apc_list":null,"apc_paid":null,"fwci":1.2453,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.84486629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9975000023841858,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9847999811172485,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7231916785240173},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5842192769050598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2235720157623291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231916785240173},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5842192769050598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2235720157623291}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1016687.1016691","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1016687.1016691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM workshop on Network troubleshooting research, theory and operations practice meet malfunctioning reality - NetT '04","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.118.4946","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.4946","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/sigcomm2004/workshop_papers/nts06-magnaghi3.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2011440271","https://openalex.org/W2073538329","https://openalex.org/W2102616700","https://openalex.org/W2104722531","https://openalex.org/W2106858907","https://openalex.org/W2115755118","https://openalex.org/W2133985894","https://openalex.org/W2138509363","https://openalex.org/W2153486199","https://openalex.org/W2156813924","https://openalex.org/W2159160833"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2382174632"],"abstract_inverted_index":{"An":[0],"increasing":[1],"number":[2],"of":[3,13,25,38,45,58,84,110,120,125,130,142,156,171,181],"misconfigurations":[4,28],"and":[5,29,75,135,139,192],"malicious":[6],"behaviors":[7,67],"threaten":[8],"the":[9,23,81,85,108,128,140,154,169,182],"normal":[10],"operation":[11],"conditions":[12],"data":[14,132],"networks.":[15],"Thus,":[16],"field":[17],"engineers":[18],"are":[19],"constantly":[20],"presented":[21],"with":[22],"challenge":[24],"isolating":[26],"new":[27],"anomalies.":[30,111],"In":[31],"this":[32],"paper,":[33],"we":[34,49,52,99],"present":[35],"a":[36,43,55,102,114,123,146,178,190],"group":[37],"real-world":[39],"problems":[40],"reported":[41],"by":[42],"set":[44],"six":[46],"commercial":[47,147],"networks":[48],"surveyed.":[50],"Successively,":[51],"focus":[53],"on":[54],"well-defined":[56],"family":[57,124],"misconfigurations.":[59],"Our":[60],"analysis":[61,129],"identifies":[62],"common":[63],"properties":[64],"such":[65,122],"anomalous":[66,136,173],"share.":[68],"Misconfigured":[69],"TCP":[70,86],"flows":[71],"experience":[72],"packet":[73],"losses":[74],"RTO-based":[76],"(Retransmission":[77],"Time-Out)":[78],"events":[79],"during":[80],"opening":[82],"phase":[83],"connection":[87],"(\"Early":[88],"RTO":[89],"Events\").":[90],"This":[91],"introduces":[92],"precise":[93],"correlations":[94],"in":[95,104],"misconfigured":[96],"traffic":[97,174],"that":[98,117,163,176],"utilize":[100],"as":[101],"\"signature\"":[103],"order":[105],"to":[106,151],"isolate":[107,168],"presence":[109,170],"We":[112],"propose":[113],"wavelet-based":[115],"algorithm":[116,165],"is":[118,177],"capable":[119],"revealing":[121],"anomalies":[126],"from":[127,145],"MIB":[131],"aggregating":[133],"healthy":[134],"flows.":[137],"Simulation":[138],"use":[141],"real":[143],"datasets":[144],"network":[148],"allow":[149],"us":[150],"quantitatively":[152],"assess":[153],"effectiveness":[155],"our":[157,164,187],"detection":[158,196],"procedure.":[159],"Numerical":[160],"results":[161],"show":[162],"can":[166],"effectively":[167],"an":[172],"component":[175],"minimal":[179],"percentage":[180],"overall":[183],"link":[184],"throughput.":[185],"Therefore,":[186],"approach":[188],"provides":[189],"general":[191],"highly":[193],"sensitive":[194],"misconfiguration":[195],"instrument.":[197]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
