{"id":"https://openalex.org/W4312401697","doi":"https://doi.org/10.1007/978-981-19-8285-9_16","title":"Research on Named Entity Recognition Method of Network Threat Intelligence","display_name":"Research on Named Entity Recognition Method of Network Threat Intelligence","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312401697","doi":"https://doi.org/10.1007/978-981-19-8285-9_16"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-19-8285-9_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-19-8285-9_16","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-981-19-8285-9_16","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100781981","display_name":"Keke Zhang","orcid":"https://orcid.org/0000-0002-9789-6151"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keke Zhang","raw_affiliation_strings":["North Minzu University, Yinchuan Ningxia, 750021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Minzu University, Yinchuan Ningxia, 750021, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385709","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-3070-9358"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Chen","raw_affiliation_strings":["North Minzu University, Yinchuan Ningxia, 750021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Minzu University, Yinchuan Ningxia, 750021, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041651415","display_name":"Yongjun Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Jing","raw_affiliation_strings":["North Minzu University, Yinchuan Ningxia, 750021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Minzu University, Yinchuan Ningxia, 750021, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763639","display_name":"Shuyang Wang","orcid":"https://orcid.org/0000-0001-9471-0801"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyang Wang","raw_affiliation_strings":["North Minzu University, Yinchuan Ningxia, 750021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Minzu University, Yinchuan Ningxia, 750021, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067853480","display_name":"Lijun Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Tang","raw_affiliation_strings":["Ningxia University, Yinchuan Ningxia, 750021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningxia University, Yinchuan Ningxia, 750021, China","institution_ids":["https://openalex.org/I21642278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100385709"],"corresponding_institution_ids":["https://openalex.org/I3019309368"],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44379396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9890999794006348,"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":0.9890999794006348,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9886000156402588,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.8841110467910767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8011202812194824},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.544392466545105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49463436007499695},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46728095412254333},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.46131443977355957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3636552691459656},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21495410799980164}],"concepts":[{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.8841110467910767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011202812194824},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.544392466545105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49463436007499695},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46728095412254333},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.46131443977355957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3636552691459656},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21495410799980164},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-19-8285-9_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-19-8285-9_16","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-981-19-8285-9_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-19-8285-9_16","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W643044259","https://openalex.org/W1976339648","https://openalex.org/W2128180557","https://openalex.org/W2250539671","https://openalex.org/W2896457183","https://openalex.org/W2959224760","https://openalex.org/W3003265726","https://openalex.org/W3005725208","https://openalex.org/W3010977072","https://openalex.org/W3013136547","https://openalex.org/W3021121749","https://openalex.org/W3129754801","https://openalex.org/W3131324121","https://openalex.org/W3162142084","https://openalex.org/W3191490876","https://openalex.org/W3198333480","https://openalex.org/W3204342889","https://openalex.org/W4214657431"],"related_works":["https://openalex.org/W2376040010","https://openalex.org/W2613880225","https://openalex.org/W2788559978","https://openalex.org/W2358036664","https://openalex.org/W2891304714","https://openalex.org/W4385239993","https://openalex.org/W2310152915","https://openalex.org/W2362895247","https://openalex.org/W4285531126","https://openalex.org/W2600654830"],"abstract_inverted_index":{"Abstract":[0],"With":[1],"the":[2,18,78,107,110,119,132,139,142,153,158,166,173,178,187,193,198,201,207,217,220,227,238,242],"continuous":[3],"emergence":[4],"of":[5,20,39,53,69,80,88,121,160,162,175,219,244],"new":[6,28],"network":[7,40,134,229],"threat":[8,42,73,135,230],"means,":[9],"how":[10],"to":[11,45,130,150,196],"turn":[12],"passive":[13],"defense":[14],"into":[15,192,211],"active":[16],"prediction,":[17],"rise":[19],"Cyber":[21],"Threat":[22,123,245],"Intelligence":[23,124,246],"(CTI)":[24],"technology":[25,31],"provides":[26],"a":[27,66,103,113,163],"idea.":[29],"CTI":[30],"can":[32],"timely":[33],"and":[34,55,86,95,156,177,205],"effectively":[35],"obtain":[36],"all":[37,51],"kinds":[38,52],"security":[41,47,90],"intelligence":[43,74,136,231],"information":[44,71,97,100,155],"help":[46],"personnel":[48],"quickly":[49],"identify":[50,131],"attacks":[54],"make":[56],"effective":[57],"decisions":[58],"in":[59,72,118,138],"time.":[60],"However,":[61],"there":[62],"are":[63,223],"not":[64],"only":[65],"large":[67],"number":[68],"redundant":[70],"information,":[75],"but":[76],"also":[77],"problems":[79],"Chinese":[81],"English":[82],"mixing,":[83],"fuzzy":[84],"boundary,":[85],"polysemy":[87,161],"related":[89],"entities.":[91],"Therefore,":[92],"identifying":[93],"complex":[94,133],"valuable":[96],"from":[98],"this":[99],"has":[101],"become":[102],"great":[104],"challenge.":[105],"Through":[106],"research":[108],"on":[109,126,226],"above":[111],"problems,":[112],"named":[114,247],"entity":[115,248],"recognition":[116,249],"model":[117,239],"field":[120],"Network":[122],"Based":[125],"BERT-BiLSTM-Self-Attention-CRF":[127],"is":[128,146,170,182,190,209],"proposed":[129],"entities":[137],"text.":[140],"Firstly,":[141],"dynamic":[143],"word":[144,168],"vector":[145,169,181],"obtained":[147,167,183],"through":[148],"Bert":[149],"fully":[151],"represent":[152],"semantic":[154],"solve":[157],"problem":[159],"word.":[164],"Then":[165,186],"used":[171],"as":[172],"input":[174,210],"BiLSTM,":[176],"context":[179],"feature":[180],"by":[184],"BiLSTM.":[185],"output":[188],"result":[189,208],"introduced":[191],"self-attention":[194],"mechanism":[195],"capture":[197],"correlation":[199],"within":[200],"data":[202,232],"or":[203],"features,":[204],"finally":[206],"CRF":[212],"for":[213],"annotation.":[214],"To":[215],"verify":[216],"effectiveness":[218],"model,":[221],"experiments":[222],"carried":[224],"out":[225],"constructed":[228],"set.":[233],"The":[234],"results":[235],"show":[236],"that":[237],"significantly":[240],"improves":[241],"effect":[243],"compared":[250],"with":[251],"several":[252],"other":[253],"classical":[254],"models.":[255]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}