{"id":"https://openalex.org/W4210514403","doi":"https://doi.org/10.1142/s0219265921430477","title":"A New Multi-Level Semi-Supervised Learning Approach for Network Intrusion Detection System Based on the \u2018GOA\u2019","display_name":"A New Multi-Level Semi-Supervised Learning Approach for Network Intrusion Detection System Based on the \u2018GOA\u2019","publication_year":2022,"publication_date":"2022-01-31","ids":{"openalex":"https://openalex.org/W4210514403","doi":"https://doi.org/10.1142/s0219265921430477"},"language":"en","primary_location":{"id":"doi:10.1142/s0219265921430477","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219265921430477","pdf_url":null,"source":{"id":"https://openalex.org/S63112013","display_name":"Journal of Interconnection Networks","issn_l":"0219-2659","issn":["0219-2659","1793-6713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Interconnection Networks","raw_type":"journal-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/A5061905957","display_name":"A. Madhuri","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"A. Madhuri","raw_affiliation_strings":["Department of CSE, PVPSIT, Vijayawada, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, PVPSIT, Vijayawada, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052827529","display_name":"V. Esther Jyothi","orcid":"https://orcid.org/0000-0003-2543-342X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Veerapaneni Esther Jyothi","raw_affiliation_strings":["Department of Computer Applications, VRSEC, Vijayawada, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Applications, VRSEC, Vijayawada, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011035106","display_name":"S. Phani Praveen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Phani Praveen","raw_affiliation_strings":["Department of CSE, PVPSIT, Vijayawada, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, PVPSIT, Vijayawada, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110807377","display_name":"S Sindhura","orcid":null},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Sindhura","raw_affiliation_strings":["Department of CSE, KLEF, Vaddeswaram, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, KLEF, Vaddeswaram, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110793203","display_name":"V. S. Podili Srinivas","orcid":null},"institutions":[{"id":"https://openalex.org/I179150554","display_name":"Guntur Medical College","ror":"https://ror.org/02evmt624","country_code":"IN","type":"education","lineage":["https://openalex.org/I179150554"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Sai Srinivas","raw_affiliation_strings":["Department of CSE, Chalapathi Institute of Technology, Guntur, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Chalapathi Institute of Technology, Guntur, India","institution_ids":["https://openalex.org/I179150554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019304569","display_name":"Dhinoth Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Lokesh Sai Kumar","raw_affiliation_strings":["Department of CSE, PVPSIT, Vijayawada, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, PVPSIT, Vijayawada, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061905957"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.0116,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97995507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"24","issue":"supp01","first_page":null,"last_page":null},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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":0.7958365678787231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7750587463378906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6383658051490784},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5618541836738586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5138373970985413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.510576605796814},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5067692399024963},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.48277607560157776},{"id":"https://openalex.org/keywords/anomaly-based-intrusion-detection-system","display_name":"Anomaly-based intrusion detection system","score":0.4631023108959198},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.458840012550354},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44729477167129517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44662928581237793},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4255147874355316}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7958365678787231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750587463378906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383658051490784},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5618541836738586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5138373970985413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.510576605796814},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5067692399024963},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.48277607560157776},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.4631023108959198},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.458840012550354},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44729477167129517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44662928581237793},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4255147874355316},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219265921430477","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219265921430477","pdf_url":null,"source":{"id":"https://openalex.org/S63112013","display_name":"Journal of Interconnection Networks","issn_l":"0219-2659","issn":["0219-2659","1793-6713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Interconnection Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2793174642","https://openalex.org/W2807487033"],"related_works":["https://openalex.org/W2337148208","https://openalex.org/W3004832009","https://openalex.org/W3036013726","https://openalex.org/W1971929717","https://openalex.org/W1724519426","https://openalex.org/W2351051591","https://openalex.org/W2369534771","https://openalex.org/W2357468538","https://openalex.org/W1548126107","https://openalex.org/W2209997499"],"abstract_inverted_index":{"One":[0],"of":[1,89,116,127,143,200,211],"the":[2,14,25,32,56,95,102,134,140,144,153,161,165,175,185,193,197,218],"important":[3,117],"technologies":[4],"in":[5,35,44,54,62,84,110,133,152,157,209],"present":[6,53],"days":[7],"is":[8,29,52,82,92,108,131,139,150,168,181,190,207],"Intrusion":[9],"detection":[10,72,91,129],"technology.":[11],"By":[12],"using":[13,184],"machine":[15],"learning":[16,98,205],"techniques,":[17],"researchers":[18],"were":[19],"developed":[20],"different":[21],"intrusion":[22,71,90,128,219],"systems.":[23],"But,":[24],"designed":[26],"models":[27],"toughness":[28],"affected":[30],"by":[31,94,183],"two":[33],"parameters,":[34],"that":[36,196],"first":[37],"one":[38],"is,":[39,49],"high":[40],"network":[41,68],"traffic":[42],"imbalance":[43],"several":[45],"categories,":[46],"and":[47,59,118,123,137,214],"another":[48],"non-identical":[50],"distribution":[51],"between":[55],"test":[57,166],"set":[58,61],"training":[60],"feature":[63],"space.":[64],"An":[65],"artificial":[66],"neural":[67],"(ANN)":[69],"multi-level":[70],"model":[73,199],"with":[74],"semi-supervised":[75],"hierarchical":[76],"[Formula:":[77],"see":[78],"text]-means":[79],"method":[80,149],"(HSK-means)":[81],"presented":[83],"this":[85,111,138],"paper.":[86,112],"Error":[87],"rate":[88,126],"reduced":[93,132],"ANN\u2019s":[96],"accurate":[97],"so":[99],"it":[100],"uses":[101],"Grasshopper":[103],"Optimization":[104],"Algorithm":[105],"(GOA)":[106],"which":[107,221],"analysed":[109],"Based":[113],"on":[114],"selection":[115],"useful":[119],"parameters":[120],"as":[121,170,187],"bias":[122],"weight,":[124],"error":[125],"system":[130],"GOA":[135,201],"algorithm":[136],"main":[141],"objective":[142],"proposed":[145],"system.":[146],"Cluster":[147],"based":[148,202],"used":[151],"pattern":[154,173],"discovery":[155],"module":[156],"order":[158],"to":[159],"find":[160],"unknown":[162,172],"patterns.":[163],"Here":[164],"sample":[167],"treated":[169],"unlabelled":[171],"or":[174],"known":[176],"pattern.":[177],"Proposed":[178],"approach":[179,206],"performance":[180],"evaluated":[182],"dataset":[186],"KDDCUP99.":[188],"It":[189],"evident":[191],"from":[192],"experimental":[194],"findings":[195],"projected":[198],"semi":[203],"supervised":[204],"better":[208],"terms":[210],"sensitivity,":[212],"specificity":[213],"overall":[215],"accuracy":[216],"than":[217],"systems":[220],"are":[222],"existed":[223],"previously.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
