{"id":"https://openalex.org/W1543837381","doi":"https://doi.org/10.1109/icis.2015.7166564","title":"Mining information assurance data with a hybrid intelligence/multi-agent system","display_name":"Mining information assurance data with a hybrid intelligence/multi-agent system","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1543837381","doi":"https://doi.org/10.1109/icis.2015.7166564","mag":"1543837381"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2015.7166564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2015.7166564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)","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","Department of Computer and Information Sciences, Towson University, MD 21252, 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":"Department of Computer and Information Sciences, Towson University, MD 21252, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017657808","display_name":"Robert J. Hammell","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. Hammell","raw_affiliation_strings":["Department of Computer and Information Sciences, Towson University, Towson, MD, USA","Department of Computer and Information Sciences, Towson University, MD 21252, 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":"Department of Computer and Information Sciences, Towson University, MD 21252, 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":0.7946,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79577137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"23","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9976999759674072,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6620299816131592},{"id":"https://openalex.org/keywords/information-assurance","display_name":"Information assurance","score":0.6131211519241333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3608464002609253},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3321320712566376},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21149089932441711},{"id":"https://openalex.org/keywords/information-security","display_name":"Information security","score":0.18401068449020386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620299816131592},{"id":"https://openalex.org/C2780795517","wikidata":"https://www.wikidata.org/wiki/Q6030997","display_name":"Information assurance","level":3,"score":0.6131211519241333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3608464002609253},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3321320712566376},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21149089932441711},{"id":"https://openalex.org/C527648132","wikidata":"https://www.wikidata.org/wiki/Q189900","display_name":"Information security","level":2,"score":0.18401068449020386}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2015.7166564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2015.7166564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W574004345","https://openalex.org/W1506285740","https://openalex.org/W1508989754","https://openalex.org/W1537747300","https://openalex.org/W1570448133","https://openalex.org/W1858867537","https://openalex.org/W1965334909","https://openalex.org/W1965902027","https://openalex.org/W1983291981","https://openalex.org/W1992419399","https://openalex.org/W2009505761","https://openalex.org/W2028384833","https://openalex.org/W2061889712","https://openalex.org/W2070399555","https://openalex.org/W2087430197","https://openalex.org/W2096748683","https://openalex.org/W2130986447","https://openalex.org/W2145790759","https://openalex.org/W2151758915","https://openalex.org/W2158190537","https://openalex.org/W2158435668","https://openalex.org/W2168931007","https://openalex.org/W2170756108","https://openalex.org/W2182215675","https://openalex.org/W2185789818","https://openalex.org/W2558918659","https://openalex.org/W2962700824","https://openalex.org/W3122345191","https://openalex.org/W4250259632","https://openalex.org/W4285719527","https://openalex.org/W6630198464","https://openalex.org/W6652550505","https://openalex.org/W6686003867","https://openalex.org/W6686147790"],"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":[0,37],"today's":[1],"world":[2,32],"an":[3],"unprecedented":[4],"and":[5,68,74,81,101,125],"overwhelming":[6],"volume":[7],"of":[8,14,33,46,103],"information":[9],"is":[10,22,27],"available":[11],"to":[12,140],"organizations":[13],"all":[15],"sizes;":[16],"the":[17,31,44,61,99],"resultant":[18],"\u201cinformation":[19],"overload\u201d":[20],"problem":[21,26],"well":[23],"documented.":[24],"This":[25,117],"especially":[28],"challenging":[29],"in":[30,43,64],"network":[34,48],"intrusion":[35],"detection.":[36],"this":[38],"research":[39],"we":[40],"demonstrate":[41],"that":[42],"domain":[45],"offline":[47],"data":[49,53,63,88,114],"mining,":[50],"several":[51,133],"different":[52,134],"mining":[54,89,115],"algorithms":[55],"(hybrid":[56],"intelligence)":[57],"operating":[58],"concurrently":[59],"on":[60,92],"same":[62],"a":[65,86,120,141,145],"multi-agent":[66,106],"system,":[67,107],"reporting":[69],"their":[70],"results":[71,139],"for":[72,130],"interpretation":[73],"interpolation,":[75],"will":[76],"yield":[77],"more":[78,83],"accurate":[79],"characterizations":[80],"extract":[82],"knowledge":[84],"than":[85],"single":[87],"algorithm":[90],"acting":[91],"its":[93,109],"own.":[94],"We":[95],"also":[96],"briefly":[97],"outline":[98],"design":[100],"functions":[102],"our":[104],"SPADE-based":[105],"demonstrating":[108],"effectiveness":[110],"at":[111],"automating":[112],"multi-path":[113],"tasks.":[116],"code":[118],"ingests":[119],"PCAP,":[121],"semi-autonomously":[122],"pre-processes":[123],"it":[124,127],"feeds":[126],"into":[128],"Weka":[129],"processing/mining":[131],"using":[132],"algorithms.":[135],"It":[136],"then":[137],"presents":[138],"human":[142],"operator":[143],"providing":[144],"feedback":[146],"insertion":[147],"point.":[148]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}