{"id":"https://openalex.org/W4394862626","doi":"https://doi.org/10.1109/tifs.2024.3389614","title":"MalGNE: Enhancing the Performance and Efficiency of CFG-Based Malware Detector by Graph Node Embedding in Low Dimension Space","display_name":"MalGNE: Enhancing the Performance and Efficiency of CFG-Based Malware Detector by Graph Node Embedding in Low Dimension Space","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394862626","doi":"https://doi.org/10.1109/tifs.2024.3389614"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2024.3389614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3389614","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","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/A5111280585","display_name":"Hao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":["College of Computer Science and Technology, and the Key Laboratory of Intelligent Educational Technology and Application, Zhejiang Normal University, Jinhua, China","College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, and the Key Laboratory of Intelligent Educational Technology and Application, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008388767","display_name":"Jieshuai Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieshuai Yang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045729467","display_name":"Dandan Zhao","orcid":"https://orcid.org/0000-0001-9375-2997"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"],"raw_orcid":"https://orcid.org/0000-0001-9375-2997","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032067104","display_name":"Xiaogang Xu","orcid":"https://orcid.org/0000-0002-7928-7336"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaogang Xu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China","Institute of Cyberspace Research and the College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-7928-7336","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"Institute of Cyberspace Research and the College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072729601","display_name":"Yuwen Pu","orcid":"https://orcid.org/0000-0003-2311-4943"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwen Pu","raw_affiliation_strings":["Institute of Cyberspace Research, and the College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2311-4943","affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Research, and the College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069521016","display_name":"Jianmin Han","orcid":"https://orcid.org/0000-0002-4053-8409"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Han","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050109299","display_name":"Xing Yang","orcid":"https://orcid.org/0000-0002-8824-1356"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Yang","raw_affiliation_strings":["State Key Laboratory of Pulsed Power Laser Technology, Electronic Countermeasure Institute, National University of Defense Technology, Hefei, China","State Key Laboratory of Pulsed Power Laser Technology, and Electronic Countermeasure Institute, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-8824-1356","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Pulsed Power Laser Technology, Electronic Countermeasure Institute, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"State Key Laboratory of Pulsed Power Laser Technology, and Electronic Countermeasure Institute, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073799589","display_name":"Ming Zhong","orcid":"https://orcid.org/0000-0002-9132-3782"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China"],"raw_orcid":"https://orcid.org/0000-0002-9132-3782","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058611515","display_name":"Shouling Ji","orcid":"https://orcid.org/0000-0003-4268-372X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Shouling Ji","raw_affiliation_strings":["Institute of Cyberspace Research, and the College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China","School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA"],"raw_orcid":"https://orcid.org/0000-0003-4268-372X","affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Research, and the College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.194,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.97292659,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"19","issue":null,"first_page":"4881","last_page":"4896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9941999912261963,"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":0.9941999912261963,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9840999841690063,"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":0.9825000166893005,"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":0.830779492855072},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5912178754806519},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5535187125205994},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5491995811462402},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.52060866355896},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.5195196270942688},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5072135925292969},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47194617986679077},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4679882228374481},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41512852907180786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40981438755989075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3902173638343811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3543512523174286},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3349186182022095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.830779492855072},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5912178754806519},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5535187125205994},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5491995811462402},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.52060866355896},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.5195196270942688},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5072135925292969},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47194617986679077},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4679882228374481},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41512852907180786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40981438755989075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3902173638343811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3543512523174286},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3349186182022095},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2024.3389614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3389614","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3042469475","display_name":null,"funder_award_id":"62072412","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7465859601","display_name":null,"funder_award_id":"U22B2027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G765195343","display_name":null,"funder_award_id":"62172297","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":55,"referenced_works":["https://openalex.org/W2517194566","https://openalex.org/W2618219509","https://openalex.org/W2766474512","https://openalex.org/W2784452215","https://openalex.org/W2788864200","https://openalex.org/W2794652108","https://openalex.org/W2909482470","https://openalex.org/W2911286998","https://openalex.org/W2926178846","https://openalex.org/W2963408280","https://openalex.org/W2964015378","https://openalex.org/W2964159373","https://openalex.org/W2969904462","https://openalex.org/W2979750740","https://openalex.org/W2990527448","https://openalex.org/W2993852904","https://openalex.org/W3088054835","https://openalex.org/W3090219579","https://openalex.org/W3111237076","https://openalex.org/W3112370249","https://openalex.org/W3118258377","https://openalex.org/W3133719257","https://openalex.org/W3134204681","https://openalex.org/W3164220323","https://openalex.org/W3178593045","https://openalex.org/W3195121218","https://openalex.org/W3201570226","https://openalex.org/W3208183553","https://openalex.org/W3216526200","https://openalex.org/W4200469653","https://openalex.org/W4205554970","https://openalex.org/W4214483364","https://openalex.org/W4255756278","https://openalex.org/W4281385582","https://openalex.org/W4282929420","https://openalex.org/W4283214123","https://openalex.org/W4287849792","https://openalex.org/W4292820477","https://openalex.org/W4293451275","https://openalex.org/W4297099979","https://openalex.org/W4297733535","https://openalex.org/W4297747285","https://openalex.org/W4312676126","https://openalex.org/W4313036228","https://openalex.org/W4360985859","https://openalex.org/W4376616875","https://openalex.org/W4385627058","https://openalex.org/W4399119650","https://openalex.org/W6738397735","https://openalex.org/W6745899033","https://openalex.org/W6748325151","https://openalex.org/W6748641434","https://openalex.org/W6765195286","https://openalex.org/W6786854854","https://openalex.org/W6787397131"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2740895074","https://openalex.org/W6057950","https://openalex.org/W2786094008","https://openalex.org/W3131501806","https://openalex.org/W2799683370","https://openalex.org/W2807745940"],"abstract_inverted_index":{"The":[0,119],"rich":[1],"semantic":[2,123],"information":[3,37,124],"in":[4,31,46,108,176],"Control":[5],"Flow":[6],"Graphs":[7],"(CFGs)":[8],"of":[9,40,125,146,183,201,207,213],"executable":[10],"programs":[11],"has":[12],"made":[13],"Graph":[14],"Neural":[15],"Networks":[16],"(GNNs)":[17],"a":[18,77,114,131,197],"key":[19],"focus":[20],"for":[21],"malware":[22],"detection.":[23],"However,":[24],"existing":[25],"CFG-based":[26],"detection":[27,199],"techniques":[28],"face":[29],"limitations":[30,50],"node":[32,101,116,126,185],"feature":[33,103,138,186],"extraction,":[34,139],"such":[35],"as":[36],"loss,":[38],"neglect":[39],"execution":[41,105],"sequence":[42,97,106],"information,":[43],"and":[44,57,96,104,140,144,159,166,174],"redundancy":[45],"representation":[47],"vectors.":[48,90],"These":[49],"compromise":[51],"the":[52,84,122,142,147,151,155,164,181,184],"balance":[53],"between":[54],"high":[55,198],"efficiency":[56,145,175],"precision":[58],"when":[59,180],"training":[60,214],"detectors.":[61],"Addressing":[62],"this,":[63],"we":[64],"introduce":[65],"an":[66],"innovative":[67],"Malware":[68],"CFG":[69],"Node":[70],"Embedding":[71],"(MalGNE)":[72],"method.":[73],"This":[74],"approach":[75],"utilizes":[76],"novel":[78],"instruction":[79,128],"encoding":[80],"rule":[81],"to":[82,99,112,190,209,217],"address":[83],"Out-Of-Vocabulary(OOV)":[85],"problem,":[86],"generates":[87],"high-quality":[88,137],"initial":[89],"Then,":[91],"it":[92],"employs":[93],"aggregation":[94,102],"layer":[95,98],"extract":[100],"feature,":[107],"conjunction":[109],"with":[110],"GNNs":[111],"develop":[113],"pre-trained":[115],"embedding":[117],"model.":[118],"model":[120,153],"maps":[121],"assembly":[127],"sequences":[129],"into":[130],"compact,":[132],"low-dimensional":[133,177],"continuous":[134],"space,":[135],"ensuring":[136],"enhancing":[141],"performance":[143,173],"detector.":[148],"We":[149],"trained":[150],"MalGNE":[152],"using":[154],"BIG":[156],"2015":[157],"dataset":[158],"validated":[160],"MalGNE-enhanced":[161,169,192],"detector":[162,170,193],"on":[163],"SOREL-20M":[165],"BODMAS":[167],"datasets.":[168],"demonstrates":[171],"outstanding":[172],"spaces,":[178],"especially":[179],"dimensionality":[182],"vector":[187],"is":[188],"reduced":[189],"16.":[191],"not":[194],"only":[195,204],"maintains":[196],"accuracy":[200,208],"95.49%.":[202],"sacrificing":[203],"about":[205],"1.7%":[206],"save":[210],"approximately":[211],"73%":[212],"time":[215],"compared":[216],"128":[218],"dimensions.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
