{"id":"https://openalex.org/W2916835129","doi":"https://doi.org/10.1155/2019/6417407","title":"Multifeature Named Entity Recognition in Information Security Based on Adversarial Learning","display_name":"Multifeature Named Entity Recognition in Information Security Based on Adversarial Learning","publication_year":2019,"publication_date":"2019-02-24","ids":{"openalex":"https://openalex.org/W2916835129","doi":"https://doi.org/10.1155/2019/6417407","mag":"2916835129"},"language":"en","primary_location":{"id":"doi:10.1155/2019/6417407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/6417407","pdf_url":"http://downloads.hindawi.com/journals/scn/2019/6417407.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/scn/2019/6417407.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030209990","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0001-8759-0784"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Zhang","raw_affiliation_strings":["Information Engineering University, Zhengzhou 450001, China","Zhengzhou University, Zhengzhou 450000, China"],"raw_orcid":"https://orcid.org/0000-0001-8759-0784","affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"Zhengzhou University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026588697","display_name":"Yuanbo Guo","orcid":"https://orcid.org/0000-0002-9905-9111"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo Guo","raw_affiliation_strings":["Information Engineering University, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012397746","display_name":"Tao Li","orcid":"https://orcid.org/0000-0003-4032-6980"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Information Engineering University, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030209990"],"corresponding_institution_ids":["https://openalex.org/I169689159","https://openalex.org/I38877650"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.596,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8745227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9970999956130981,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9937000274658203,"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":0.9156219363212585},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.647584080696106},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5922355055809021},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5884358286857605},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5798776745796204},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5726053714752197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5718772411346436},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5617219805717468},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5269768238067627},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5186421275138855},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4947454631328583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41668957471847534},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.346602201461792},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3455287218093872},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3274601399898529},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09382781386375427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9156219363212585},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.647584080696106},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5922355055809021},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5884358286857605},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5798776745796204},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5726053714752197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5718772411346436},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5617219805717468},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5269768238067627},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5186421275138855},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4947454631328583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41668957471847534},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.346602201461792},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3455287218093872},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3274601399898529},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09382781386375427},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2019/6417407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/6417407","pdf_url":"http://downloads.hindawi.com/journals/scn/2019/6417407.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eb1c1b60dadc47c79fb343103f56aa65","is_oa":false,"landing_page_url":"https://doaj.org/article/eb1c1b60dadc47c79fb343103f56aa65","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Security and Communication Networks, Vol 2019 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2019/6417407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/6417407","pdf_url":"http://downloads.hindawi.com/journals/scn/2019/6417407.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1969556975","display_name":null,"funder_award_id":"61501515","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4480120978","display_name":null,"funder_award_id":"172102210002","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2916835129.pdf","grobid_xml":"https://content.openalex.org/works/W2916835129.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W1634257591","https://openalex.org/W2168990503","https://openalex.org/W2174828870","https://openalex.org/W2190421341","https://openalex.org/W2285811961","https://openalex.org/W2728025147","https://openalex.org/W2769387903","https://openalex.org/W2800535933"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,29,42,67,78,91],"obtain":[3,30],"high":[4],"quality":[5],"and":[6,49,60],"large-scale":[7],"labelled":[8,31],"data":[9,32],"for":[10],"information":[11,96],"security":[12,97],"research,":[13],"we":[14,87],"propose":[15],"a":[16,21,89],"new":[17],"approach":[18],"that":[19,103],"combines":[20],"generative":[22,39],"adversarial":[23,40],"network":[24,41],"with":[25,55],"the":[26,38,56,71,110],"BiLSTM-Attention-CRF":[27,72],"model":[28,105],"from":[33],"crowd":[34,47],"annotations.":[35],"We":[36],"use":[37],"find":[43],"common":[44],"features":[45,66],"in":[46,53,84],"annotations":[48],"then":[50,76],"consider":[51],"them":[52],"conjunction":[54],"domain":[57],"dictionary":[58],"feature":[59,63],"sentence":[61],"dependency":[62],"as":[64],"additional":[65],"be":[68],"introduced":[69],"into":[70],"model,":[73],"which":[74],"is":[75],"used":[77],"carry":[79],"out":[80],"named":[81],"entity":[82],"recognition":[83],"crowdsourcing.":[85],"Finally,":[86],"create":[88],"dataset":[90],"evaluate":[92],"our":[93,104],"models":[94],"using":[95],"data.":[98],"The":[99],"experimental":[100],"results":[101],"show":[102],"has":[106],"better":[107],"performance":[108],"than":[109],"other":[111],"baseline":[112],"models.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}