{"id":"https://openalex.org/W7133362582","doi":"https://doi.org/10.1109/ijcb65343.2025.11411216","title":"Behavioral Signature Decoding: Facial Landmark-based Graph Learning for Cybernetic Avatar Authentication","display_name":"Behavioral Signature Decoding: Facial Landmark-based Graph Learning for Cybernetic Avatar Authentication","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W7133362582","doi":"https://doi.org/10.1109/ijcb65343.2025.11411216"},"language":null,"primary_location":{"id":"doi:10.1109/ijcb65343.2025.11411216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11411216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-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/A5064135973","display_name":"Ammar Alsherfawi","orcid":null},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ammar Alsherfawi","raw_affiliation_strings":["The University of Osaka,D3 Center,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Osaka,D3 Center,Japan","institution_ids":["https://openalex.org/I14314212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091707052","display_name":"Jianhang Zhou","orcid":"https://orcid.org/0000-0002-2423-2311"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhang Zhou","raw_affiliation_strings":["Shanghai University,China"],"affiliations":[{"raw_affiliation_string":"Shanghai University,China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126393986","display_name":"Allam Shehata","orcid":null},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Allam Shehata","raw_affiliation_strings":["The University of Osaka,D3 Center,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Osaka,D3 Center,Japan","institution_ids":["https://openalex.org/I14314212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040773064","display_name":"Yasushi Yagi","orcid":"https://orcid.org/0000-0002-3546-8071"},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Yagi","raw_affiliation_strings":["The University of Osaka,D3 Center,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Osaka,D3 Center,Japan","institution_ids":["https://openalex.org/I14314212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064135973"],"corresponding_institution_ids":["https://openalex.org/I14314212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88908063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.2126999944448471,"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"}},"topics":[{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.2126999944448471,"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/T11448","display_name":"Face recognition and analysis","score":0.17829999327659607,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.11240000277757645,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.7184000015258789},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5426999926567078},{"id":"https://openalex.org/keywords/cybernetics","display_name":"Cybernetics","score":0.5328999757766724},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.4537999927997589},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4453999996185303},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42260000109672546},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.3700000047683716},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3677000105381012},{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.35749998688697815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792900025844574},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.7184000015258789},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5426999926567078},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C115286129","wikidata":"https://www.wikidata.org/wiki/Q123637","display_name":"Cybernetics","level":2,"score":0.5328999757766724},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.4537999927997589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.450300008058548},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3955000042915344},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.31850001215934753},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C118463975","wikidata":"https://www.wikidata.org/wiki/Q220849","display_name":"Digital signature","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C2778000800","wikidata":"https://www.wikidata.org/wiki/Q830043","display_name":"Handshake","level":3,"score":0.2574000060558319},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb65343.2025.11411216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11411216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1568064164","https://openalex.org/W2030931454","https://openalex.org/W2883183894","https://openalex.org/W2884460600","https://openalex.org/W2889326414","https://openalex.org/W2963076818","https://openalex.org/W2963587345","https://openalex.org/W3038930935","https://openalex.org/W3081192838","https://openalex.org/W3097792222","https://openalex.org/W3129932917","https://openalex.org/W3165881704","https://openalex.org/W3175342695","https://openalex.org/W3179508259","https://openalex.org/W3180770160","https://openalex.org/W3196204467","https://openalex.org/W4214876496","https://openalex.org/W4280579728","https://openalex.org/W4288102863","https://openalex.org/W4312473638","https://openalex.org/W4360993864","https://openalex.org/W4385626247","https://openalex.org/W4386072021","https://openalex.org/W4387259531","https://openalex.org/W4391931465","https://openalex.org/W4397031504","https://openalex.org/W4402727930","https://openalex.org/W4402753521","https://openalex.org/W4402774698","https://openalex.org/W4404124961","https://openalex.org/W4404239051","https://openalex.org/W4404355888","https://openalex.org/W4404601244","https://openalex.org/W4409354025","https://openalex.org/W4413145248","https://openalex.org/W4413155367","https://openalex.org/W4413157058","https://openalex.org/W4413259111"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,19,79,87,95,118,123,173,178,181,189,194,202,221],"rapid":[2],"advancement":[3],"of":[4,21,180,196,223],"AI-generated":[5],"videos,":[6],"distinguishing":[7],"synthetic":[8],"content":[9,13],"from":[10,117],"genuine":[11],"human-driven":[12],"has":[14],"become":[15],"increasingly":[16],"difficult,":[17],"threatening":[18],"integrity":[20],"human":[22,74],"authenticity":[23],"and":[24,47,73,99,153,163,172],"creative":[25],"expression.":[26],"In":[27],"this":[28,199],"context,":[29],"Cybernetic":[30,209],"Avatar":[31,210],"(CA)":[32],"is":[33],"introduced":[34],"as":[35],"a":[36,41,67,91,106,135,145,160,185,213],"digital":[37],"entity":[38],"that":[39,111,143,166],"mirrors":[40],"remote":[42],"operator\u2019s":[43],"facial":[44,114],"expressions,":[45],"gestures,":[46],"speech":[48],"in":[49,220],"virtual":[50,218],"environments,":[51],"posing":[52],"new":[53,214],"challenges":[54],"for":[55,208,216],"secure":[56],"identity":[57,219],"verification.":[58],"A":[59],"critical":[60],"threat":[61],"emerges":[62],"when":[63],"unauthorized":[64],"users":[65],"manipulate":[66],"CA,":[68],"potentially":[69],"deceiving":[70],"both":[71],"systems":[72],"observers.":[75],"This":[76],"paper":[77],"addresses":[78],"CA":[80,92,108,119],"Authentication":[81],"problem,":[82],"which":[83],"seeks":[84],"to":[85,121,149],"verify":[86],"true":[88],"teleoperator":[89],"behind":[90],"video":[93,120],"despite":[94],"CA\u2019s":[96],"mutable":[97],"appearance":[98],"expressive":[100],"behaviors.":[101],"More":[102],"specifically,":[103],"we":[104,133,158],"propose":[105],"robust":[107],"authentication":[109],"framework":[110,183],"leverages":[112],"spatio-temporal":[113,147],"behavior":[115],"captured":[116],"authenticate":[122],"legitimate":[124],"teleoperator.":[125],"To":[126,193],"effectively":[127],"learn":[128],"identity-sensitive":[129],"motion":[130],"patterns":[131],"(signature),":[132],"develop":[134],"Behavior":[136],"Signature":[137],"Decoder":[138],"Graph":[139],"Convolutional":[140],"Network":[141],"(BSDec-GCN)":[142],"constructs":[144],"constrained":[146],"graph":[148],"amplify":[150],"identity-specific":[151],"dynamics":[152],"suppress":[154],"inter-user":[155],"ambiguity.":[156],"Furthermore,":[157],"introduce":[159],"dual":[161],"landmark":[162],"graph-level":[164],"losses":[165],"boost":[167],"discrimination.":[168],"The":[169],"comprehensive":[170],"experiments":[171],"thorough":[174],"ablation":[175],"studies":[176],"demonstrate":[177],"reliability":[179],"proposed":[182],"with":[184],"competitive":[186],"performance":[187],"against":[188],"existing":[190],"baseline":[191],"methods.":[192],"best":[195],"our":[197],"knowledge,":[198],"work":[200],"presents":[201],"first":[203],"graph-based":[204],"learning":[205],"approach":[206],"tailored":[207],"authentication,":[211],"opening":[212],"direction":[215],"securing":[217],"era":[222],"AI-mediated":[224],"communication.":[225]},"counts_by_year":[],"updated_date":"2026-03-05T07:30:30.508283","created_date":"2026-03-04T00:00:00"}
