{"id":"https://openalex.org/W4200275931","doi":"https://doi.org/10.1109/iscc53001.2021.9631496","title":"STRAD: Network Intrusion Detection Algorithm Based on Zero-Positive Learning in Real Complex Network Environment","display_name":"STRAD: Network Intrusion Detection Algorithm Based on Zero-Positive Learning in Real Complex Network Environment","publication_year":2021,"publication_date":"2021-09-05","ids":{"openalex":"https://openalex.org/W4200275931","doi":"https://doi.org/10.1109/iscc53001.2021.9631496"},"language":"en","primary_location":{"id":"doi:10.1109/iscc53001.2021.9631496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631496","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","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/A5101839929","display_name":"Ying Zhong","orcid":"https://orcid.org/0000-0003-4916-7330"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Zhong","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031695030","display_name":"Ziqi Gao","orcid":"https://orcid.org/0009-0008-4553-7828"},"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":"Ziqi Gao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448333","display_name":"Rui Li","orcid":"https://orcid.org/0000-0001-6448-5092"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043011509","display_name":"Citong Que","orcid":"https://orcid.org/0009-0008-1011-469X"},"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":"Citong Que","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060962854","display_name":"Xinjie Yang","orcid":"https://orcid.org/0000-0003-3799-4590"},"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":"Xinjie Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343127","display_name":"Zhiliang Wang","orcid":"https://orcid.org/0000-0001-6587-820X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiliang Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023416195","display_name":"Jiahai Yang","orcid":"https://orcid.org/0000-0001-6109-6737"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahai Yang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736595","display_name":"Yin Xia","orcid":"https://orcid.org/0000-0003-0315-7532"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Yin","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047888843","display_name":"Xingang Shi","orcid":"https://orcid.org/0000-0001-6487-9526"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Shi","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keqin Li","raw_affiliation_strings":["State University of New York, New Paltz, USA"],"affiliations":[{"raw_affiliation_string":"State University of New York, New Paltz, USA","institution_ids":["https://openalex.org/I157455823"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5101839929"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.924,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66608609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9995999932289124,"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":0.9984999895095825,"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":0.8211014270782471},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6431143879890442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5741751194000244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5634621381759644},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5619522929191589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.547364354133606},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5332306027412415},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.49580010771751404},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.4900766611099243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4619244933128357},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41413113474845886},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09152147173881531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211014270782471},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6431143879890442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5741751194000244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5634621381759644},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5619522929191589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.547364354133606},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5332306027412415},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.49580010771751404},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.4900766611099243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4619244933128357},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41413113474845886},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09152147173881531},{"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:10.1109/iscc53001.2021.9631496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631496","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2771372968","display_name":null,"funder_award_id":"2018YFB1800200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1959608418","https://openalex.org/W2040333627","https://openalex.org/W2088340225","https://openalex.org/W2095577883","https://openalex.org/W2150847526","https://openalex.org/W2756080396","https://openalex.org/W2763978449","https://openalex.org/W2772317693","https://openalex.org/W2783741806","https://openalex.org/W2786088545","https://openalex.org/W2808472075","https://openalex.org/W2899948414","https://openalex.org/W2933168239","https://openalex.org/W2951194311","https://openalex.org/W2963197901","https://openalex.org/W2973153123","https://openalex.org/W2988337058","https://openalex.org/W2997442262","https://openalex.org/W3001437801","https://openalex.org/W3039274670","https://openalex.org/W3040389479","https://openalex.org/W3097159718","https://openalex.org/W3119160111","https://openalex.org/W3136284412","https://openalex.org/W3151784567","https://openalex.org/W3153872861","https://openalex.org/W3156522613","https://openalex.org/W4287667694","https://openalex.org/W4294170691","https://openalex.org/W6636510571","https://openalex.org/W6640963894","https://openalex.org/W6682691769","https://openalex.org/W6748102297","https://openalex.org/W6761299148","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W2363068348","https://openalex.org/W2105086501","https://openalex.org/W2377356555","https://openalex.org/W2100537916","https://openalex.org/W2362542061","https://openalex.org/W2166715167","https://openalex.org/W2388546479","https://openalex.org/W2365899926","https://openalex.org/W2584408238","https://openalex.org/W2390193194"],"abstract_inverted_index":{"With":[0],"the":[1,137],"increasing":[2],"network":[3,6,39,91],"security":[4],"risks,":[5],"intrusion":[7],"detection":[8,25,93],"technology":[9],"has":[10,129],"become":[11],"more":[12],"important.":[13],"At":[14],"present,":[15],"machine":[16],"learning":[17,55],"is":[18],"applied":[19],"in":[20],"most":[21,69],"advanced":[22],"traffic":[23],"anomaly":[24,92,122],"algorithms,":[26],"but":[27],"these":[28],"algorithms":[29,35,51,70],"have":[30,71],"three":[31],"main":[32],"shortcomings.":[33],"First,":[34],"using":[36],"deep":[37],"neural":[38],"are":[40,64,80],"highly":[41],"complex":[42],"and":[43,66,76,99,116],"not":[44],"suitable":[45,82],"for":[46,83,104,112,121],"real-time":[47],"online":[48],"processing.":[49],"Second,":[50],"based":[52],"on":[53,58],"supervised":[54],"require":[56],"training":[57],"huge":[59],"labeled":[60],"data":[61],"sets,":[62],"which":[63],"limited":[65],"insufficient.":[67],"Third,":[68],"such":[72],"poor":[73],"generalization":[74],"ability":[75],"portability":[77],"that":[78,127],"they":[79],"less":[81],"real-world":[84],"environments.":[85],"Therefore,":[86],"we":[87],"propose":[88],"a":[89,130],"novel":[90],"model,":[94],"STRAD.":[95],"We":[96],"use":[97],"Word2vec":[98],"Damped":[100],"Incremental":[101],"Statistics":[102],"algorithm":[103],"spatiotemporal":[105],"features":[106],"extraction,":[107],"latent":[108],"space":[109],"compression":[110,115],"(LSC)":[111],"feature":[113],"vectors":[114],"an":[117],"unsupervised":[118],"one-class":[119],"classifier":[120],"detection.":[123],"Our":[124],"evaluations":[125],"show":[126],"STRAD":[128],"better":[131],"performance":[132],"than":[133],"other":[134],"state":[135],"of":[136],"art":[138],"algorithms.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
