{"id":"https://openalex.org/W2572556059","doi":"https://doi.org/10.17706/jcp.12.2.143-155","title":"Convergence Optimization of Backpropagation Artificial Neural Network Used for Dichotomous Classification of Intrusion Detection Dataset","display_name":"Convergence Optimization of Backpropagation Artificial Neural Network Used for Dichotomous Classification of Intrusion Detection Dataset","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2572556059","doi":"https://doi.org/10.17706/jcp.12.2.143-155","mag":"2572556059"},"language":"en","primary_location":{"id":"doi:10.17706/jcp.12.2.143-155","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.12.2.143-155","pdf_url":"http://www.jcomputers.us/vol12/jcp1202-06.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.jcomputers.us/vol12/jcp1202-06.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037488079","display_name":"Ivan Homoliak","orcid":"https://orcid.org/0000-0002-0790-0875"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Ivan Homoliak","raw_affiliation_strings":["Brno University Security Laboratory, Department of Intelligent Systems, Faculty of Information Technology,","Brno University of Technology, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Brno University Security Laboratory, Department of Intelligent Systems, Faculty of Information Technology,","institution_ids":[]},{"raw_affiliation_string":"Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037488079"],"corresponding_institution_ids":["https://openalex.org/I60587646"],"apc_list":null,"apc_paid":null,"fwci":0.6216,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70081199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9814000129699707,"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/backpropagation","display_name":"Backpropagation","score":0.85849928855896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7378672957420349},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6902061700820923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6648553013801575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6179375648498535},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.617285966873169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.52313631772995},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.4658684730529785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.441580593585968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3280978798866272},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.059643179178237915}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.85849928855896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7378672957420349},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6902061700820923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6648553013801575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6179375648498535},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.617285966873169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52313631772995},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.4658684730529785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.441580593585968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3280978798866272},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.059643179178237915},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jcp.12.2.143-155","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.12.2.143-155","pdf_url":"http://www.jcomputers.us/vol12/jcp1202-06.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jcp.12.2.143-155","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.12.2.143-155","pdf_url":"http://www.jcomputers.us/vol12/jcp1202-06.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2572556059.pdf","grobid_xml":"https://content.openalex.org/works/W2572556059.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W128886786","https://openalex.org/W284561945","https://openalex.org/W1498436455","https://openalex.org/W1604368195","https://openalex.org/W1876967670","https://openalex.org/W1964793108","https://openalex.org/W1985987493","https://openalex.org/W1996688253","https://openalex.org/W1999427165","https://openalex.org/W2001245517","https://openalex.org/W2008056655","https://openalex.org/W2045064676","https://openalex.org/W2069501123","https://openalex.org/W2099940443","https://openalex.org/W2108011302","https://openalex.org/W2137623823","https://openalex.org/W2144208713","https://openalex.org/W2152714487","https://openalex.org/W2164576874","https://openalex.org/W2167634486","https://openalex.org/W2187034790","https://openalex.org/W2275675895","https://openalex.org/W2335344703","https://openalex.org/W2743276450","https://openalex.org/W2810087077","https://openalex.org/W4234721591","https://openalex.org/W4235765578","https://openalex.org/W4244190327","https://openalex.org/W6674887505","https://openalex.org/W6684324787","https://openalex.org/W6826282001"],"related_works":["https://openalex.org/W2366221835","https://openalex.org/W2388271354","https://openalex.org/W2388528423","https://openalex.org/W2349436282","https://openalex.org/W2037496939","https://openalex.org/W2355783318","https://openalex.org/W2189193988","https://openalex.org/W2394110669","https://openalex.org/W2082482750","https://openalex.org/W2348239129"],"abstract_inverted_index":{"There":[0],"are":[1,100,140],"distinguished":[2],"two":[3],"categories":[4],"of":[5,15,63,85,106,121,131],"intrusion":[6,23,39,80],"detection":[7,24,40],"approaches":[8],"utilizing":[9,126],"machine":[10],"learning":[11,98,108],"according":[12],"to":[13,153],"type":[14],"input":[16,89],"data.":[17],"The":[18,34,56],"first":[19],"one":[20,36],"represents":[21,37],"network":[22,32,68],"techniques":[25,41,103],"which":[26,42],"consider":[27],"only":[28,149],"data":[29,46],"captured":[30],"in":[31],"traffic.":[33],"second":[35],"general":[38,79],"intake":[43],"all":[44],"possible":[45],"sources":[47],"including":[48],"host-based":[49],"features":[50],"as":[51,53,110,112],"well":[52,70,111],"network-based":[54],"ones.":[55],"paper":[57],"demonstrates":[58],"various":[59],"convergence":[60,109],"optimization":[61],"experiments":[62],"a":[64],"backpropagation":[65,97,145],"artificial":[66],"neural":[67],"using":[69],"know":[71],"NSL-KDD":[72,158],"1999":[73],"dataset,":[74,159],"and":[75,91,129,137],"thus,":[76],"representing":[77],"the":[78,96,144,157],"detection.":[81],"Experiments":[82],"evaluating":[83],"usefulness":[84],"stratified":[86,127,135],"sampling":[87,128,136],"on":[88],"dataset":[90],"simulated":[92,138],"annealing":[93,139],"employed":[94],"into":[95],"algorithm":[99],"performed.":[101],"Both":[102],"provide":[104],"improvement":[105],"backpropagation's":[107],"classification":[113,119],"accuracy.":[114,151],"After":[115],"50":[116],"training":[117],"cycles,":[118],"accuracy":[120,130,163],"84.20%":[122],"is":[123,161],"achieved":[124,162],"when":[125,133],"86.5%":[132],"both":[134],"used.":[141],"In":[142],"contrast,":[143],"by":[146],"itself":[147],"reaches":[148],"76.63%":[150],"Comparing":[152],"state-of-the-art":[154],"work":[155],"introducing":[156],"there":[160],"higher":[164],"about":[165],"4.5%.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"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"}
