{"id":"https://openalex.org/W2028384833","doi":"https://doi.org/10.1109/snpd.2014.6888681","title":"Converting PCAPs into Weka mineable data","display_name":"Converting PCAPs into Weka mineable data","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2028384833","doi":"https://doi.org/10.1109/snpd.2014.6888681","mag":"2028384833"},"language":"en","primary_location":{"id":"doi:10.1109/snpd.2014.6888681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2014.6888681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5015874290","display_name":"Charles A. Fowler","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Charles A. Fowler","raw_affiliation_strings":["Department of Computer and Information Sciences, Towson University, Towson, MD, USA","[Dept. of Comput. & Inf. Sci., Towson Univ., Towson, MD, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]},{"raw_affiliation_string":"[Dept. of Comput. & Inf. Sci., Towson Univ., Towson, MD, USA]","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023021355","display_name":"Robert J. Hammel","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert J. Hammel","raw_affiliation_strings":["Towson University, Towson, MD, US","[Dept. of Comput. & Inf. Sci., Towson Univ., Towson, MD, USA]"],"affiliations":[{"raw_affiliation_string":"Towson University, Towson, MD, US","institution_ids":["https://openalex.org/I4322298"]},{"raw_affiliation_string":"[Dept. of Comput. & Inf. Sci., Towson Univ., Towson, MD, USA]","institution_ids":["https://openalex.org/I4322298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015874290"],"corresponding_institution_ids":["https://openalex.org/I4322298"],"apc_list":null,"apc_paid":null,"fwci":2.1216,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89457532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9958000183105469,"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":0.4855055809020996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4855055809020996}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd.2014.6888681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2014.6888681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1537747300","https://openalex.org/W2012095206","https://openalex.org/W2128787428","https://openalex.org/W2155722216","https://openalex.org/W2158435668","https://openalex.org/W2182215675","https://openalex.org/W6683067747","https://openalex.org/W6686003867"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0,35,77],"today's":[1],"world":[2,30],"there":[3],"is":[4,20,25,71],"an":[5,96,243],"unprecedented":[6],"volume":[7],"of":[8,13,31,48,81,122,133,143,181,196,213,225,256],"information":[9],"available":[10],"to":[11,75,86,95],"organizations":[12],"all":[14],"sizes;":[15],"the":[16,29,78,120,131,144,158],"\u201cinformation":[17],"overload\u201d":[18],"problem":[19,24],"well":[21],"documented.":[22],"This":[23,251],"especially":[26],"challenging":[27],"in":[28,56,119,149,238],"network":[32,124],"intrusion":[33],"detection.":[34],"this":[36,150],"realm,":[37],"we":[38,51,64,72,84,152,169,260],"must":[39,52],"not":[40,66],"only":[41,208],"deal":[42],"with":[43,172],"sifting":[44],"through":[45],"vast":[46],"amounts":[47],"data,":[49],"but":[50],"also":[53],"do":[54],"it":[55,70,272,275],"a":[57,134,182,191,210,223,236,254,257,268],"timely":[58],"manner":[59],"even":[60],"when":[61],"at":[62],"times":[63],"are":[65,73,170,261],"sure":[67],"what":[68],"exactly":[69],"trying":[74],"find.":[76],"grander":[79],"scheme":[80],"our":[82,226],"work":[83],"intend":[85],"demonstrate":[87],"that":[88,147],"several":[89,281],"different":[90,282],"data":[91,106,128,177],"mining":[92,107],"algorithms":[93],"reporting":[94],"overarching":[97],"layer":[98],"will":[99,117,266],"yield":[100],"more":[101],"accurate":[102],"results":[103],"than":[104],"anyone":[105],"application":[108,259],"(or":[109],"algorithm)":[110],"acting":[111],"on":[112],"its":[113],"own.":[114],"The":[115],"system":[116],"operate":[118],"domain":[121],"offline":[123],"and":[125,141,163,200,216,241,273],"computer":[126],"forensic":[127],"mining,":[129],"under":[130],"guidance":[132],"hybrid":[135],"intelligence/multi-agent,":[136],"systems":[137],"based,":[138],"for":[139,161,186,278],"interpretation":[140],"interpolation":[142],"findings.":[145],"Toward":[146],"end,":[148],"paper":[151],"build":[153],"upon":[154],"earlier":[155],"work,":[156],"undertaking":[157],"steps":[159],"required":[160],"generating":[162],"preparing":[164],"suitably":[165],"minable":[166],"data.":[167],"Specifically,":[168],"concerned":[171],"extracting":[173],"as":[174,178],"much":[175],"useful":[176],"possible":[179],"out":[180],"PCAP":[183,192,240],"(Packet":[184],"capture)":[185],"importing":[187],"into":[188,276],"Weka.":[189],"While":[190],"may":[193],"have":[194],"thousands":[195],"field/value":[197],"pairs,":[198],"Wireshark":[199],"tshark's":[201],"csv":[202],"(comma":[203],"separated":[204],"value)":[205,237],"output":[206],"module":[207],"renders":[209],"small":[211],"percentage":[212],"these":[214],"fields":[215],"their":[217],"values":[218],"by":[219],"default.":[220],"We":[221],"introduce":[222],"tool":[224],"own":[227],"making":[228],"which":[229,265],"enumerates":[230],"every":[231],"field":[232],"(with":[233],"or":[234],"without":[235],"any":[239],"generates":[242],"ARFF":[244],"(Attribute-Relation":[245],"File":[246],"Format":[247],"\u2014":[248],"Weka":[249,277],"default).":[250],"code":[252],"represents":[253],"component":[255],"larger":[258],"designing":[262],"(future":[263],"work)":[264],"ingest":[267],"PCAP,":[269],"semi-autonomously":[270],"preprocess":[271],"feed":[274],"processing/mining":[279],"using":[280],"algorithms.":[283]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
