{"id":"https://openalex.org/W4327521035","doi":"https://doi.org/10.1145/3573428.3573605","title":"Intrusion detection method based on constrained Boltzmann machine and delayed decision","display_name":"Intrusion detection method based on constrained Boltzmann machine and delayed decision","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327521035","doi":"https://doi.org/10.1145/3573428.3573605"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573605","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","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/A5006614578","display_name":"Liang Hong","orcid":"https://orcid.org/0000-0002-1748-8570"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Hong","raw_affiliation_strings":["College of Computer, Jiangsu University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031791368","display_name":"Han Bin","orcid":"https://orcid.org/0000-0003-0469-7530"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Han","raw_affiliation_strings":["College of Computer, Jiangsu University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006614578"],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":null,"apc_paid":null,"fwci":0.1381,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51329422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"979","last_page":"985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7701811790466309},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.769707202911377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7681098580360413},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.7125036120414734},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6981122493743896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6313390731811523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5876343846321106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.543485164642334},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5280802249908447},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4927079975605011},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.4730614423751831},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42818203568458557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36539965867996216},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2349839210510254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13735371828079224}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7701811790466309},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.769707202911377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681098580360413},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.7125036120414734},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6981122493743896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6313390731811523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5876343846321106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.543485164642334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5280802249908447},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4927079975605011},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.4730614423751831},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42818203568458557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36539965867996216},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2349839210510254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13735371828079224},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573428.3573605","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W101345952","https://openalex.org/W2602695931","https://openalex.org/W2890474333","https://openalex.org/W2900880305","https://openalex.org/W3004556735","https://openalex.org/W3012067338","https://openalex.org/W4205821171","https://openalex.org/W4231068148","https://openalex.org/W4238806542","https://openalex.org/W4239751654","https://openalex.org/W4300827522"],"related_works":["https://openalex.org/W4283272532","https://openalex.org/W2952018105","https://openalex.org/W2119341610","https://openalex.org/W2916681395","https://openalex.org/W2556473569","https://openalex.org/W2193475944","https://openalex.org/W4302433642","https://openalex.org/W2529583158","https://openalex.org/W2108438604","https://openalex.org/W2547523780"],"abstract_inverted_index":{"In":[0],"the":[1,49,56,70,74,95,105,111,123,134,138],"face":[2],"of":[3,107],"massive":[4],"dimensional":[5],"and":[6,18,35,67,73,86,93],"nonlinear":[7],"data,":[8],"traditional":[9],"intrusion":[10,26,125],"detection":[11,27,126],"algorithms":[12],"suffer":[13],"from":[14],"inadequate":[15],"feature":[16,46,75,89],"extraction":[17,47,76],"inaccurate":[19],"classification":[20,57,96],"models.":[21],"To":[22],"this":[23,84,108],"end,":[24],"an":[25],"method":[28,109],"based":[29,128],"on":[30,48,110,129],"restricted":[31],"Boltzmann":[32],"machine":[33],"(RBM)":[34],"delayed":[36,51],"decision":[37,52,58],"is":[38,42,53,78,114,117],"proposed.":[39],"The":[40,100],"RBM":[41],"selected":[43],"to":[44],"perform":[45],"dataset,":[50],"performed":[54],"in":[55,83],"stage":[59],"for":[60,81],"behaviors":[61,82],"that":[62,104],"cannot":[63],"be":[64],"immediately":[65],"classified":[66],"grouped":[68],"into":[69],"boundary":[71],"domain,":[72],"process":[77],"further":[79],"repeated":[80],"domain":[85],"different":[87],"granularity":[88],"spaces":[90],"are":[91,98],"constructed,":[92],"finally":[94],"results":[97,102],"output.":[99],"experimental":[101],"show":[103],"accuracy":[106,136],"NSL-KDD":[112],"dataset":[113],"96.1%,":[115],"which":[116,132],"2.5":[118],"percentage":[119],"points":[120],"higher":[121],"than":[122],"hierarchical":[124],"system":[127],"spatio-temporal":[130],"features,":[131],"has":[133],"highest":[135],"among":[137],"compared":[139],"methods.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
