{"id":"https://openalex.org/W4405754940","doi":"https://doi.org/10.1109/metroxraine62247.2024.10796234","title":"Acoustic Side Channel Attack for Keystroke Splitting in the Wild","display_name":"Acoustic Side Channel Attack for Keystroke Splitting in the Wild","publication_year":2024,"publication_date":"2024-10-21","ids":{"openalex":"https://openalex.org/W4405754940","doi":"https://doi.org/10.1109/metroxraine62247.2024.10796234"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine62247.2024.10796234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10796234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086037119","display_name":"Massimo Orazio Spata","orcid":"https://orcid.org/0000-0001-6704-7485"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Orazio Spata","raw_affiliation_strings":["Dipartimento di Matematica ed Informatica, University of Catania,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica ed Informatica, University of Catania,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108962732","display_name":"Valerio Maria Russo","orcid":null},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valerio Maria Russo","raw_affiliation_strings":["Dipartimento di Matematica ed Informatica, University of Catania,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica ed Informatica, University of Catania,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076307306","display_name":"Alessandro Ortis","orcid":"https://orcid.org/0000-0003-3461-4679"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Ortis","raw_affiliation_strings":["Dipartimento di Matematica ed Informatica, University of Catania,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica ed Informatica, University of Catania,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042746008","display_name":"Sebastiano Battiato","orcid":"https://orcid.org/0000-0001-6127-2470"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiano Battiato","raw_affiliation_strings":["Dipartimento di Matematica ed Informatica, University of Catania,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica ed Informatica, University of Catania,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":1.5673,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86166444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9979000091552734,"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":0.9979000091552734,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9258000254631042,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/side-channel-attack","display_name":"Side channel attack","score":0.868537187576294},{"id":"https://openalex.org/keywords/keystroke-logging","display_name":"Keystroke logging","score":0.7456220388412476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737335920333862},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5114068388938904},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43280982971191406},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34105294942855835},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27558910846710205},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.27224427461624146}],"concepts":[{"id":"https://openalex.org/C49289754","wikidata":"https://www.wikidata.org/wiki/Q2267081","display_name":"Side channel attack","level":3,"score":0.868537187576294},{"id":"https://openalex.org/C161615301","wikidata":"https://www.wikidata.org/wiki/Q309396","display_name":"Keystroke logging","level":2,"score":0.7456220388412476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737335920333862},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5114068388938904},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43280982971191406},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34105294942855835},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27558910846710205},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.27224427461624146}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine62247.2024.10796234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10796234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","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":25,"referenced_works":["https://openalex.org/W1973132608","https://openalex.org/W1988921401","https://openalex.org/W2080335657","https://openalex.org/W2128025167","https://openalex.org/W2149359921","https://openalex.org/W2271840356","https://openalex.org/W2322955483","https://openalex.org/W2402144811","https://openalex.org/W2403657431","https://openalex.org/W2525572646","https://openalex.org/W2792962660","https://openalex.org/W2936774411","https://openalex.org/W2954996726","https://openalex.org/W3193271183","https://openalex.org/W3207092163","https://openalex.org/W4312105465","https://openalex.org/W4383746894","https://openalex.org/W4385412288","https://openalex.org/W4401133258","https://openalex.org/W6607899610","https://openalex.org/W6689031463","https://openalex.org/W6749825310","https://openalex.org/W6756169136","https://openalex.org/W6796931752","https://openalex.org/W6857312385"],"related_works":["https://openalex.org/W1466352809","https://openalex.org/W2496611875","https://openalex.org/W2066653138","https://openalex.org/W2983735090","https://openalex.org/W4212984397","https://openalex.org/W4323824501","https://openalex.org/W2604534946","https://openalex.org/W2806686226","https://openalex.org/W2159609636","https://openalex.org/W3196561854"],"abstract_inverted_index":{"With":[0],"the":[1,63,99,102,144,164,170,182,187,195,202,208],"increasing":[2],"prevalence":[3],"of":[4,90,101,137,146,169,179,186,192,201],"smart":[5,91,138],"devices":[6,34,92,139],"in":[7,56,111,127,149,160,207],"our":[8,147,161],"daily":[9],"lives,":[10],"concerns":[11],"about":[12],"security":[13],"vulnerabilities":[14],"have":[15,24],"become":[16],"more":[17],"prominent.":[18],"Acoustic":[19],"Side":[20],"Channel":[21],"Attacks":[22],"(ASCA)":[23],"emerged":[25],"as":[26,40,107],"a":[27,46,71,84,176],"significant":[28],"threat,":[29],"exploiting":[30],"sound":[31],"emissions":[32],"from":[33],"to":[35],"infer":[36],"sensitive":[37],"information":[38],"such":[39],"keystrokes":[41],"or":[42],"conversations.":[43],"We":[44,80],"propose":[45],"novel":[47],"approach":[48,148],"leveraging":[49],"deep":[50],"learning":[51],"techniques":[52],"for":[53,77,204],"audio":[54,64,104],"segmentation":[55,105,115],"ASCA":[57,112],"scenarios.":[58,95],"Our":[59,96],"method":[60,106],"involves":[61],"preprocessing":[62],"data,":[65],"extracting":[66],"relevant":[67],"features,":[68],"and":[69,93,121,140,156,166,184,197],"applying":[70],"Temporal":[72],"Convolutional":[73],"Network":[74],"(TCN)":[75],"model":[76,116],"keystroke":[78,205],"classification.":[79],"conducted":[81],"experiments":[82,97],"on":[83],"diverse":[85],"dataset":[86],"comprising":[87],"various":[88],"types":[89,136],"attack":[94,141],"demonstrate":[98,175],"effectiveness":[100,183],"proposed":[103,171],"fundamental":[108],"preparatory":[109],"step":[110],"attacks.":[113],"The":[114,152],"achieved":[117],"high":[118,153,190],"precision,":[119,154],"sensitivity,":[120,155],"specificity":[122,157],"values,":[123],"indicating":[124],"its":[125],"robustness":[126],"accurately.":[128],"Furthermore,":[129],"we":[130],"observed":[131],"consistent":[132],"performance":[133],"across":[134],"different":[135],"scenarios,":[142],"highlighting":[143],"generalizability":[145],"real":[150],"conditions.":[151],"values":[158],"obtained":[159],"evaluation":[162],"underscore":[163],"reliability":[165,196],"practical":[167],"utility":[168],"approach.":[172,188],"Experimental":[173],"results":[174],"peak":[177],"accuracy":[178,193],"990%,":[180],"showcasing":[181],"precision":[185],"This":[189],"level":[191],"underscores":[194],"potential":[198],"real-world":[199],"applicability":[200],"findings":[203],"splitting":[206],"wild.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}