{"id":"https://openalex.org/W3204578453","doi":"https://doi.org/10.1109/bmsb53066.2021.9547087","title":"Network intrusion detection based on Contractive Sparse Stacked Denoising Autoencoder","display_name":"Network intrusion detection based on Contractive Sparse Stacked Denoising Autoencoder","publication_year":2021,"publication_date":"2021-08-04","ids":{"openalex":"https://openalex.org/W3204578453","doi":"https://doi.org/10.1109/bmsb53066.2021.9547087","mag":"3204578453"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb53066.2021.9547087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5028727070","display_name":"Jizhao Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101457","display_name":"Chinatex Posts and Telecommunications Consulting and Design Institute (China)","ror":"https://ror.org/00kskf856","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101457"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jizhao Lu","raw_affiliation_strings":["State Grid Henan Information &Telecommunication Company, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"State Grid Henan Information &Telecommunication Company, Zhengzhou, China","institution_ids":["https://openalex.org/I4210101457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091522738","display_name":"Huiping Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101457","display_name":"Chinatex Posts and Telecommunications Consulting and Design Institute (China)","ror":"https://ror.org/00kskf856","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101457"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiping Meng","raw_affiliation_strings":["State Grid Henan Information &Telecommunication Company, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"State Grid Henan Information &Telecommunication Company, Zhengzhou, China","institution_ids":["https://openalex.org/I4210101457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053312733","display_name":"Wen\u2010Cui Li","orcid":"https://orcid.org/0000-0001-8066-7144"},"institutions":[{"id":"https://openalex.org/I4210101457","display_name":"Chinatex Posts and Telecommunications Consulting and Design Institute (China)","ror":"https://ror.org/00kskf856","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101457"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wencui Li","raw_affiliation_strings":["State Grid Henan Information &Telecommunication Company, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"State Grid Henan Information &Telecommunication Company, Zhengzhou, China","institution_ids":["https://openalex.org/I4210101457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320066","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0002-3292-4211"},"institutions":[{"id":"https://openalex.org/I4210101457","display_name":"Chinatex Posts and Telecommunications Consulting and Design Institute (China)","ror":"https://ror.org/00kskf856","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101457"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["State Grid Henan Information &Telecommunication Company, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"State Grid Henan Information &Telecommunication Company, Zhengzhou, China","institution_ids":["https://openalex.org/I4210101457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108587935","display_name":"Yihao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihao Guo","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397486","display_name":"Yang Yang","orcid":"https://orcid.org/0009-0001-5752-0264"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028727070"],"corresponding_institution_ids":["https://openalex.org/I4210101457"],"apc_list":null,"apc_paid":null,"fwci":0.4585,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66085278,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9986000061035156,"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":0.9796000123023987,"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/softmax-function","display_name":"Softmax function","score":0.757225751876831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7400976419448853},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7006970047950745},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.594469428062439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.568549633026123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5555289387702942},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5376039743423462},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5262205600738525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5123909115791321},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.496159166097641},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.44419413805007935},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4126071333885193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38902756571769714},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26445239782333374},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07147625088691711}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.757225751876831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400976419448853},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7006970047950745},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.594469428062439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.568549633026123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5555289387702942},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5376039743423462},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5262205600738525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5123909115791321},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.496159166097641},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.44419413805007935},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4126071333885193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38902756571769714},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26445239782333374},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07147625088691711},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb53066.2021.9547087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2529525882","https://openalex.org/W2547373888","https://openalex.org/W2894660140","https://openalex.org/W2913125146","https://openalex.org/W2962976812","https://openalex.org/W3010022099","https://openalex.org/W3011203842","https://openalex.org/W3011793324","https://openalex.org/W3044527724","https://openalex.org/W6729580512"],"related_works":["https://openalex.org/W2769441402","https://openalex.org/W2594436708","https://openalex.org/W4360994128","https://openalex.org/W3086240734","https://openalex.org/W2736305774","https://openalex.org/W2951850672","https://openalex.org/W2789476480","https://openalex.org/W3037110488","https://openalex.org/W2061466315","https://openalex.org/W2376886931"],"abstract_inverted_index":{"The":[0,129],"rapid":[1],"growth":[2],"of":[3,74,80,121,124,141],"network":[4,11,25,39,83,142],"scale":[5],"leads":[6],"to":[7,20,70,97],"the":[8,72,75,81,94,99,107,119,138],"increasingly":[9],"prominent":[10],"security":[12],"problems.":[13],"Intrusion":[14],"detection":[15,31,87,144],"is":[16,145],"an":[17],"important":[18],"method":[19],"resist":[21],"complex":[22],"and":[23,37,56,61,84,109,117],"growing":[24],"attacks.":[26],"For":[27],"traditional":[28,54,136],"shallow":[29],"intrusion":[30,40,86,143],"methods":[32],"can":[33],"not":[34],"effectively":[35,146],"identify":[36],"classify":[38],"data,":[41],"this":[42,66,91],"paper":[43,92],"proposes":[44],"a":[45],"Contractive":[46],"Sparse":[47],"Stack":[48],"Denoising":[49],"Autoencoder(CSSDAE),":[50],"which":[51],"cascades":[52],"multiple":[53],"Autoencoders,":[55],"introduces":[57],"noise,":[58],"sparse":[59],"constraint":[60],"contractive":[62],"penalty":[63],"term":[64],"on":[65],"basis,":[67],"so":[68],"as":[69,102,104,111,113],"improve":[71],"robustness":[73],"model,":[76],"enhance":[77],"decoding":[78],"ability":[79],"deep":[82],"promote":[85],"performance.":[88],"In":[89],"addition,":[90],"improves":[93],"softmax":[95],"classifier":[96],"make":[98],"feature":[100],"vectors":[101],"compact":[103],"possible":[105,114],"within":[106],"class":[108],"separate":[110],"much":[112],"between":[115],"classes,":[116],"solves":[118],"problem":[120],"uneven":[122],"number":[123],"sample":[125],"classes":[126],"by":[127],"weighting.":[128],"experimental":[130],"results":[131],"show":[132],"that":[133],"compared":[134],"with":[135],"AE,":[137],"CSSDAE's":[139],"accuracy":[140],"improved.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}