{"id":"https://openalex.org/W4392450072","doi":"https://doi.org/10.1109/tnsm.2024.3373663","title":"A Network Security Situation Prediction Method Based on SSA-GResNeSt","display_name":"A Network Security Situation Prediction Method Based on SSA-GResNeSt","publication_year":2024,"publication_date":"2024-03-05","ids":{"openalex":"https://openalex.org/W4392450072","doi":"https://doi.org/10.1109/tnsm.2024.3373663"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2024.3373663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2024.3373663","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Network and Service Management","raw_type":"journal-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/A5015759201","display_name":"Dongmei Zhao","orcid":"https://orcid.org/0000-0001-8717-7906"},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Zhao","raw_affiliation_strings":["College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084034151","display_name":"Guoqing Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Ji","raw_affiliation_strings":["College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiling Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiling Zhang","raw_affiliation_strings":["College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102625197","display_name":"Xunzheng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunzheng Han","raw_affiliation_strings":["College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062153630","display_name":"Shuiguang Zeng","orcid":"https://orcid.org/0000-0001-7009-2586"},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiguang Zeng","raw_affiliation_strings":["College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0001-7009-2586","affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, the Hebei Key Laboratory of Network and Information Security, and the Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94611258"],"apc_list":null,"apc_paid":null,"fwci":3.6931,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93476888,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"21","issue":"3","first_page":"3498","last_page":"3510"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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":0.9968000054359436,"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":0.8809791207313538},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6176425814628601},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5257259607315063},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5207738280296326},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48066580295562744},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.47902315855026245},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4658554196357727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4648173451423645},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.463692307472229},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45452040433883667},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.4329336881637573},{"id":"https://openalex.org/keywords/network-performance","display_name":"Network performance","score":0.42955484986305237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39649367332458496},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15253525972366333},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09983828663825989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8809791207313538},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6176425814628601},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5257259607315063},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5207738280296326},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48066580295562744},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.47902315855026245},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4658554196357727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4648173451423645},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.463692307472229},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45452040433883667},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.4329336881637573},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.42955484986305237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39649367332458496},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15253525972366333},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09983828663825989},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2024.3373663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2024.3373663","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1735082486","display_name":null,"funder_award_id":"61672206","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1570321471","https://openalex.org/W1972062587","https://openalex.org/W2047716449","https://openalex.org/W2194775991","https://openalex.org/W2344403065","https://openalex.org/W2473262664","https://openalex.org/W2530271030","https://openalex.org/W2738900493","https://openalex.org/W2752782242","https://openalex.org/W2788496860","https://openalex.org/W2905097561","https://openalex.org/W2923173851","https://openalex.org/W2944328136","https://openalex.org/W2946231165","https://openalex.org/W2963091558","https://openalex.org/W2967878329","https://openalex.org/W2977319455","https://openalex.org/W2982220924","https://openalex.org/W3016719260","https://openalex.org/W3042855339","https://openalex.org/W3048313003","https://openalex.org/W3083384421","https://openalex.org/W3101894954","https://openalex.org/W3118600567","https://openalex.org/W3136603773","https://openalex.org/W3161325351","https://openalex.org/W3185895012","https://openalex.org/W3196382900","https://openalex.org/W3205305833","https://openalex.org/W3208667530","https://openalex.org/W4214817610","https://openalex.org/W4224292818","https://openalex.org/W4226165470","https://openalex.org/W4226319939","https://openalex.org/W4286009580","https://openalex.org/W4289260607","https://openalex.org/W4292826151","https://openalex.org/W4313003916","https://openalex.org/W4323350511","https://openalex.org/W6635471180"],"related_works":["https://openalex.org/W4206951940","https://openalex.org/W4293868382","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W2376886931","https://openalex.org/W2061466315","https://openalex.org/W2010561419","https://openalex.org/W2374845301","https://openalex.org/W2351448539","https://openalex.org/W1977863481"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,89],"networks":[2,90],"have":[3,48],"been":[4],"widely":[5],"used":[6,132],"in":[7,32,52,91,111,121,183],"intrusion":[8],"detection":[9],"and":[10,27,76,99,173],"proactive":[11],"network":[12,17,129,154,161],"defense":[13],"strategies":[14],"such":[15],"as":[16],"security":[18,155],"situation":[19,156],"prediction":[20,42],"(NSSP).":[21],"The":[22,83],"interaction":[23],"between":[24,30],"cross-channel":[25],"features":[26],"the":[28,33,41,69,72,80,104,133,143,149,167],"dependencies":[29,102],"elements":[31],"input":[34,105],"data":[35,126],"are":[36],"essential":[37],"factors":[38],"that":[39,54,67,175],"affect":[40],"model\u2019s":[43,144],"performance.":[44,82,145],"However,":[45],"existing":[46],"works":[47],"ignored":[49],"these,":[50],"resulting":[51],"performance":[53,110],"needs":[55],"to":[56,78,127,137,180],"be":[57],"improved.":[58],"To":[59],"this":[60],"end,":[61],"we":[62,152],"propose":[63],"a":[64],"GResNeSt":[65,84],"model":[66,85,171],"combines":[68],"advantages":[70],"of":[71,103,158,185],"global":[73],"context":[74],"block":[75],"ResNeSt":[77],"improve":[79],"NSSP":[81,186],"strengthens":[86],"traditional":[87],"convolutional":[88],"two":[92,159],"ways:":[93],"it":[94,118],"effectively":[95],"captures":[96],"cross-feature":[97],"interactions":[98],"obtains":[100],"long-range":[101],"data.":[106],"This":[107],"enhances":[108],"its":[109],"capturing":[112],"associations":[113],"among":[114],"different":[115],"elements,":[116],"making":[117],"more":[119],"effective":[120],"extracting":[122],"critical":[123],"information":[124],"from":[125],"identify":[128],"attacks.":[130],"We":[131],"Salp":[134],"swarm":[135],"algorithm":[136],"select":[138],"optimal":[139],"hyperparameters":[140],"for":[141],"improving":[142],"Furthermore,":[146],"based":[147],"on":[148,166],"attack":[150],"impact,":[151],"calculated":[153],"values":[157],"public":[160],"datasets.":[162],"Finally,":[163],"comprehensive":[164],"experiments":[165],"datasets":[168],"verified":[169],"our":[170,176],"design":[172],"demonstrated":[174],"scheme":[177],"is":[178],"superior":[179],"other":[181],"models":[182],"terms":[184],"ability.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
