{"id":"https://openalex.org/W2890474333","doi":"https://doi.org/10.1109/access.2018.2869577","title":"Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection","display_name":"Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890474333","doi":"https://doi.org/10.1109/access.2018.2869577","mag":"2890474333"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2869577","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2869577","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2869577","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067972997","display_name":"Majjed Al-Qatf","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Majjed Al-Qatf","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036205917","display_name":"Lasheng Yu","orcid":"https://orcid.org/0000-0001-7078-9068"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Lasheng","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064710846","display_name":"Mohammed Al\u2010Habib","orcid":"https://orcid.org/0000-0003-3651-4954"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohammed Al-Habib","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000738330","display_name":"Kamal Al\u2010Sabahi","orcid":"https://orcid.org/0000-0001-5554-9533"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kamal Al-Sabahi","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067972997"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":36.2264,"has_fulltext":false,"cited_by_count":524,"citation_normalized_percentile":{"value":0.99851689,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"52843","last_page":"52856"},"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":0.9979000091552734,"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":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8188035488128662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7189186215400696},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6910896897315979},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6879787445068359},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6537789106369019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6159608364105225},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.5380010604858398},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4673376977443695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4476121664047241},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.44016233086586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42084386944770813},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4155960977077484},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.3626343309879303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188035488128662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7189186215400696},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6910896897315979},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6879787445068359},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6537789106369019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6159608364105225},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.5380010604858398},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4673376977443695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4476121664047241},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.44016233086586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42084386944770813},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4155960977077484},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.3626343309879303}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2869577","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2869577","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0e01ef0a291247c5b92720c428f6a2c5","is_oa":true,"landing_page_url":"https://doaj.org/article/0e01ef0a291247c5b92720c428f6a2c5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 52843-52856 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2869577","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2869577","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3566087113","display_name":null,"funder_award_id":"Z201610110620003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W111228695","https://openalex.org/W177847060","https://openalex.org/W1811853421","https://openalex.org/W1977838479","https://openalex.org/W1983291981","https://openalex.org/W1989352541","https://openalex.org/W2036695131","https://openalex.org/W2047603677","https://openalex.org/W2050752817","https://openalex.org/W2055820261","https://openalex.org/W2066832805","https://openalex.org/W2067907977","https://openalex.org/W2084496302","https://openalex.org/W2097154113","https://openalex.org/W2099940443","https://openalex.org/W2101109743","https://openalex.org/W2118858186","https://openalex.org/W2120617515","https://openalex.org/W2122922389","https://openalex.org/W2134380836","https://openalex.org/W2278186031","https://openalex.org/W2346714907","https://openalex.org/W2399941526","https://openalex.org/W2527999453","https://openalex.org/W2529525882","https://openalex.org/W2536661541","https://openalex.org/W2541841318","https://openalex.org/W2554148185","https://openalex.org/W2584408238","https://openalex.org/W2655549288","https://openalex.org/W2734718015","https://openalex.org/W2751399725","https://openalex.org/W2752291283","https://openalex.org/W2762776925","https://openalex.org/W2765533176","https://openalex.org/W2772317693","https://openalex.org/W2779585691","https://openalex.org/W2783741806","https://openalex.org/W2795147830","https://openalex.org/W2798248638","https://openalex.org/W4245460974","https://openalex.org/W4249837478","https://openalex.org/W6607232846","https://openalex.org/W6677919164","https://openalex.org/W6730018140","https://openalex.org/W6733113829","https://openalex.org/W6739648967","https://openalex.org/W6747178647","https://openalex.org/W6749806285"],"related_works":["https://openalex.org/W2997511728","https://openalex.org/W4310873165","https://openalex.org/W4214653893","https://openalex.org/W2149097950","https://openalex.org/W2355395139","https://openalex.org/W2505282017","https://openalex.org/W3124731355","https://openalex.org/W4285596704","https://openalex.org/W3036853918","https://openalex.org/W3211372245"],"abstract_inverted_index":{"Network":[0],"intrusion":[1,147,218,227],"detection":[2,144,219],"systems":[3],"(NIDSs)":[4],"provide":[5],"a":[6,120,222],"better":[7,195],"solution":[8],"to":[9,39,100,141],"network":[10,15,217],"security":[11],"than":[12,196],"other":[13],"traditional":[14],"defense":[16],"technologies,":[17],"such":[18,172],"as":[19,173],"firewall":[20],"systems.":[21],"The":[22,69,102,212],"success":[23],"of":[24,32,51,93,154,168,198,204],"NIDS":[25],"is":[26,72,105,113,162],"highly":[27],"dependent":[28],"on":[29,65],"the":[30,33,41,46,52,66,90,108,129,132,138,152,155,199],"performance":[31,205],"algorithms":[34],"and":[35,44,48,77,83,87,148,159,164,179,190,193,209,220],"improvement":[36],"methods":[37],"used":[38,73],"increase":[40],"classification":[42,149,161,170],"accuracy":[43,92],"decrease":[45],"training":[47,82,189],"testing":[49,84,191],"times":[50,192],"algorithms.":[53],"We":[54],"propose":[55],"an":[56,114,125],"effective":[57,115],"deep":[58],"learning":[59,62,76,116],"approach,":[60],"self-taught":[61],"(STL)-IDS,":[63],"based":[64],"STL":[67],"framework.":[68],"proposed":[70,103,213],"approach":[71,156,185,215],"for":[74,118,146,226],"feature":[75,122],"dimensionality":[78],"reduction.":[79],"It":[80],"reduces":[81],"time":[85],"considerably":[86],"effectively":[88],"improves":[89,216],"prediction":[91],"support":[94],"vector":[95],"machines":[96],"(SVM)":[97],"with":[98,166],"regard":[99],"attacks.":[101],"model":[104],"built":[106],"using":[107],"sparse":[109],"autoencoder":[110],"mechanism,":[111],"which":[112],"algorithm":[117,140],"reconstructing":[119],"new":[121,133,223],"representation":[123],"in":[124,157,202,207],"unsupervised":[126],"manner.":[127],"After":[128],"pre-training":[130],"stage,":[131],"features":[134],"are":[135],"fed":[136],"into":[137],"SVM":[139,188],"improve":[142],"its":[143],"capability":[145],"accuracy.":[150],"Moreover,":[151],"efficiency":[153],"binary":[158,208],"multiclass":[160,210],"studied":[163],"compared":[165],"that":[167,183],"shallow":[169],"methods,":[171],"J48,":[174],"naive":[175],"Bayesian,":[176],"random":[177],"forest,":[178],"SVM.":[180],"Results":[181],"show":[182],"our":[184],"has":[186],"accelerated":[187],"performed":[194],"most":[197],"previous":[200],"approaches":[201],"terms":[203],"metrics":[206],"classification.":[211],"STL-IDS":[214],"provides":[221],"research":[224],"method":[225],"detection.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":50},{"year":2024,"cited_by_count":81},{"year":2023,"cited_by_count":91},{"year":2022,"cited_by_count":101},{"year":2021,"cited_by_count":96},{"year":2020,"cited_by_count":60},{"year":2019,"cited_by_count":29}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}