{"id":"https://openalex.org/W2509035406","doi":"https://doi.org/10.1145/2978178.2978182","title":"Analysis of Parallel Architectures for Network Intrusion Detection","display_name":"Analysis of Parallel Architectures for Network Intrusion Detection","publication_year":2016,"publication_date":"2016-09-09","ids":{"openalex":"https://openalex.org/W2509035406","doi":"https://doi.org/10.1145/2978178.2978182","mag":"2509035406"},"language":"en","primary_location":{"id":"doi:10.1145/2978178.2978182","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2978178.2978182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Annual Conference on Research in Information Technology","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041560944","display_name":"Ricardo A. Calix","orcid":null},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ricardo A. Calix","raw_affiliation_strings":["Purdue University Calumet, Hammond, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Calumet, Hammond, IN, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091531534","display_name":"Armando Cabrera","orcid":null},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Armando Cabrera","raw_affiliation_strings":["Purdue University Calumet, Hammond, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Calumet, Hammond, IN, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000085417","display_name":"Irshad M. Iqbal","orcid":null},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Irshad Iqbal","raw_affiliation_strings":["Purdue University Calumet, Hammond, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Calumet, Hammond, IN, USA","institution_ids":["https://openalex.org/I117015748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I117015748"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07156457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.9011823534965515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8345595598220825},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5414630770683289},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4644339978694916},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.45040401816368103},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.44116532802581787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43970271944999695},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.21374687552452087}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.9011823534965515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345595598220825},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5414630770683289},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4644339978694916},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.45040401816368103},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.44116532802581787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43970271944999695},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.21374687552452087},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2978178.2978182","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2978178.2978182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Annual Conference on Research in Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308204","display_name":"Northrop Grumman","ror":"https://ror.org/05kewds18"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W157828038","https://openalex.org/W1510014385","https://openalex.org/W1570448133","https://openalex.org/W1981738628","https://openalex.org/W1988918299","https://openalex.org/W1998917233","https://openalex.org/W2007087405","https://openalex.org/W2010308738","https://openalex.org/W2023446255","https://openalex.org/W2023721289","https://openalex.org/W2055913343","https://openalex.org/W2098066930","https://openalex.org/W2099940443","https://openalex.org/W2100537916","https://openalex.org/W2102978741","https://openalex.org/W2107699930","https://openalex.org/W2115582366","https://openalex.org/W2128785082","https://openalex.org/W2134762546","https://openalex.org/W2134874101","https://openalex.org/W2142244319","https://openalex.org/W2166657964","https://openalex.org/W2167926074","https://openalex.org/W2171737600","https://openalex.org/W2237742293","https://openalex.org/W2395543779","https://openalex.org/W2966207845","https://openalex.org/W4251512373","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W1671124163","https://openalex.org/W2168674042","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2349441905","https://openalex.org/W2413467815"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,23,29,51,76],"systems":[2,24],"need":[3],"to":[4],"be":[5,36],"both":[6],"accurate":[7],"and":[8,84,94],"fast.":[9,60],"Speed":[10],"is":[11,53],"important":[12],"especially":[13],"when":[14,44],"operating":[15],"at":[16],"the":[17,50],"network":[18],"level.":[19],"Additionally,":[20],"many":[21],"intrusion":[22,39,75],"rely":[25],"on":[26],"signature":[27],"based":[28,74],"approaches.":[30],"However,":[31],"machine":[32,46,55,72],"learning":[33,56,73],"can":[34],"also":[35],"helpful":[37],"for":[38,69],"detection.":[40],"One":[41],"key":[42],"challenge":[43],"using":[45,54],"learning,":[47],"aside":[48],"from":[49],"accuracy,":[52],"algorithms":[57],"that":[58],"are":[59,67,92],"In":[61],"this":[62],"paper,":[63],"several":[64],"processing":[65,90],"architectures":[66,79],"considered":[68],"use":[70],"in":[71],"systems.":[77],"These":[78],"include":[80],"standard":[81],"CPUs,":[82],"GPUs,":[83],"cognitive":[85],"processors.":[86],"Results":[87],"of":[88],"their":[89],"speeds":[91],"compared":[93],"discussed.":[95]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
