{"id":"https://openalex.org/W4404707990","doi":"https://doi.org/10.1186/s42400-024-00314-9","title":"Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning","display_name":"Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning","publication_year":2024,"publication_date":"2024-11-26","ids":{"openalex":"https://openalex.org/W4404707990","doi":"https://doi.org/10.1186/s42400-024-00314-9"},"language":"en","primary_location":{"id":"doi:10.1186/s42400-024-00314-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42400-024-00314-9","pdf_url":"https://cybersecurity.springeropen.com/counter/pdf/10.1186/s42400-024-00314-9","source":{"id":"https://openalex.org/S3035238565","display_name":"Cybersecurity","issn_l":"2523-3246","issn":["2523-3246"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybersecurity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cybersecurity.springeropen.com/counter/pdf/10.1186/s42400-024-00314-9","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016185143","display_name":"Yulong Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Ji","raw_affiliation_strings":["School of Cyber Science and Technology, Hubei University, Wuhan, 430062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Hubei University, Wuhan, 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kunjin Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunjin Zou","raw_affiliation_strings":["Manchester Metropolitan Joint Institute, Hubei University, Wuhan, 430062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan Joint Institute, Hubei University, Wuhan, 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078058840","display_name":"Bin Zou","orcid":"https://orcid.org/0000-0002-8649-1538"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Zou","raw_affiliation_strings":["School of Mathematics and Statistic, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, 430062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistic, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, 430062, China","institution_ids":["https://openalex.org/I75900474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078058840"],"corresponding_institution_ids":["https://openalex.org/I75900474"],"apc_list":null,"apc_paid":null,"fwci":1.2538,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80766373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9872999787330627,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.6797438859939575},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6105718612670898},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5623562932014465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4669189453125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4102831780910492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3204590082168579},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18621468544006348},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.05949223041534424}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797438859939575},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6105718612670898},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5623562932014465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4669189453125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4102831780910492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3204590082168579},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18621468544006348},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.05949223041534424},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s42400-024-00314-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42400-024-00314-9","pdf_url":"https://cybersecurity.springeropen.com/counter/pdf/10.1186/s42400-024-00314-9","source":{"id":"https://openalex.org/S3035238565","display_name":"Cybersecurity","issn_l":"2523-3246","issn":["2523-3246"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybersecurity","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a734a570de5544f5a5eadd8ca9c010b6","is_oa":false,"landing_page_url":"https://doaj.org/article/a734a570de5544f5a5eadd8ca9c010b6","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":"Cybersecurity, Vol 7, Iss 1, Pp 1-19 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42400-024-00314-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42400-024-00314-9","pdf_url":"https://cybersecurity.springeropen.com/counter/pdf/10.1186/s42400-024-00314-9","source":{"id":"https://openalex.org/S3035238565","display_name":"Cybersecurity","issn_l":"2523-3246","issn":["2523-3246"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybersecurity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7249912578","display_name":null,"funder_award_id":"2020YFA0714200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8243848313","display_name":null,"funder_award_id":"No. 2020YFA0714200","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404707990.pdf","grobid_xml":"https://content.openalex.org/works/W4404707990.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W70600013","https://openalex.org/W271923603","https://openalex.org/W2010065958","https://openalex.org/W2049736842","https://openalex.org/W2095776733","https://openalex.org/W2122672392","https://openalex.org/W2194775991","https://openalex.org/W2944145691","https://openalex.org/W2954996726","https://openalex.org/W2962847739","https://openalex.org/W2963446712","https://openalex.org/W2996806689","https://openalex.org/W3000318628","https://openalex.org/W3005215370","https://openalex.org/W3019875810","https://openalex.org/W3173300022","https://openalex.org/W3174909610","https://openalex.org/W3199625283","https://openalex.org/W4200532403","https://openalex.org/W4211244138","https://openalex.org/W4220674331","https://openalex.org/W4220768885","https://openalex.org/W4226082183","https://openalex.org/W4292826151","https://openalex.org/W4296068317","https://openalex.org/W4297477879","https://openalex.org/W4317419029","https://openalex.org/W4319163914","https://openalex.org/W4320147968","https://openalex.org/W4321484456","https://openalex.org/W4387556984","https://openalex.org/W4387701888","https://openalex.org/W6600175564","https://openalex.org/W6604344240"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Abstract":[0],"Malware":[1],"classification":[2,36,75,90,139,178,209,217],"has":[3],"been":[4],"successful":[5],"in":[6,73,164,243],"utilizing":[7,186],"machine":[8],"learning":[9,103,128,201],"methods.":[10],"However,":[11,67],"it":[12],"is":[13],"limited":[14],"by":[15,51],"the":[16,27,34,68,79,109,117,124,132,138,161,177,190,206,215,223,259],"reliance":[17],"on":[18,94,205],"a":[19,42,49,62,136,151],"large":[20],"number":[21,64],"of":[22,29,37,65,70,82,119,180,225,245,261,264],"high-quality":[23],"labeled":[24],"datasets":[25,236],"and":[26,102,127,141,189,200,219,249],"issue":[28],"overfitting.":[30],"These":[31,112,183],"limitations":[32],"hinder":[33],"accurate":[35],"advanced":[38],"malware":[39,74,83,89,166,227,235],"with":[40,61],"only":[41],"few":[43],"samples":[44],"available.":[45],"Meta-learning":[46],"methods":[47],"offer":[48],"solution":[50],"allowing":[52],"models":[53,242],"to":[54,57,78,106,108,131,159,175,212,257],"quickly":[55],"adapt":[56,107],"new":[58],"tasks,":[59],"even":[60],"small":[63],"samples.":[66],"effectiveness":[69,260],"meta-learning":[71,110,154],"approaches":[72,113],"varies":[76],"due":[77],"diverse":[80],"nature":[81],"types.":[84],"Most":[85],"meta-learning-based":[86],"methodologies":[87],"for":[88,222],"either":[91],"focus":[92],"solely":[93],"data":[95,172],"augmentation":[96,173],"or":[97,122],"utilize":[98],"existing":[99],"neural":[100,125,197],"networks":[101],"rate":[104,129,202],"schedules":[105,130],"model.":[111],"do":[114],"not":[115],"consider":[116],"integration":[118],"both":[120],"processes":[121],"tailor":[123],"network":[126,198],"specific":[133],"task.":[134],"As":[135],"result,":[137],"performance":[140,179,218],"generalization":[142,220],"capabilities":[143],"are":[144],"suboptimal.":[145],"In":[146],"this":[147],"paper,":[148],"we":[149,169,195,252],"propose":[150,170],"multi-improved":[152],"model-agnostic":[153],"(MI-MAML)":[155],"model":[156],"that":[157,238],"aims":[158],"address":[160],"challenges":[162],"encountered":[163],"few-shot":[165,181,208,226,234],"classification.":[167,228],"Specifically,":[168],"two":[171],"techniques":[174,184],"improve":[176],"malware.":[182],"involve":[185],"grayscale":[187],"images":[188],"Lab":[191],"color":[192],"space.":[193],"Additionally,":[194],"customize":[196],"architectures":[199],"schemes":[203],"based":[204],"representative":[207],"method,":[210],"MAML,":[211],"further":[213],"enhance":[214],"model\u2019s":[216],"ability":[221],"task":[224],"The":[229],"results":[230],"obtained":[231],"from":[232],"multiple":[233],"demonstrate":[237],"MI-MAML":[239],"outperforms":[240],"other":[241],"terms":[244],"categorical":[246],"accuracy,":[247],"precision,":[248],"f1-score.":[250],"Furthermore,":[251],"have":[253],"conducted":[254],"ablation":[255],"experiments":[256],"validate":[258],"each":[262],"stage":[263],"our":[265],"work.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
