{"id":"https://openalex.org/W4382046084","doi":"https://doi.org/10.1145/3584318.3584321","title":"Side Auth: Synthesizing Virtual Sensors for Authentication","display_name":"Side Auth: Synthesizing Virtual Sensors for Authentication","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4382046084","doi":"https://doi.org/10.1145/3584318.3584321"},"language":"en","primary_location":{"id":"doi:10.1145/3584318.3584321","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584318.3584321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 New Security Paradigms Workshop","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/A5064938665","display_name":"Yan Long","orcid":"https://orcid.org/0000-0002-3429-7127"},"institutions":[{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Long","raw_affiliation_strings":["University of Michigan, United States"],"affiliations":[{"raw_affiliation_string":"University of Michigan, United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113708992","display_name":"Kevin Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Fu","raw_affiliation_strings":["Northeastern University, United States"],"affiliations":[{"raw_affiliation_string":"Northeastern University, United States","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064938665"],"corresponding_institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"],"apc_list":null,"apc_paid":null,"fwci":0.1007,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42883766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9937999844551086,"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"}},"topics":[{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9937999844551086,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6652697324752808},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.6432347297668457},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33990252017974854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6652697324752808},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6432347297668457},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33990252017974854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584318.3584321","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584318.3584321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 New Security Paradigms Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1973831058","https://openalex.org/W1975527961","https://openalex.org/W1977070661","https://openalex.org/W1977985044","https://openalex.org/W2079448371","https://openalex.org/W2103857226","https://openalex.org/W2125281025","https://openalex.org/W2131372145","https://openalex.org/W2136243427","https://openalex.org/W2151370481","https://openalex.org/W2156350103","https://openalex.org/W2168424540","https://openalex.org/W2304304210","https://openalex.org/W2523192495","https://openalex.org/W2725499676","https://openalex.org/W2891688427","https://openalex.org/W2913715209","https://openalex.org/W2950044691","https://openalex.org/W2963976704","https://openalex.org/W2964345931","https://openalex.org/W2995883584","https://openalex.org/W3016022122","https://openalex.org/W3100555097","https://openalex.org/W3100675173","https://openalex.org/W3100942185","https://openalex.org/W3174249117","https://openalex.org/W4248866987","https://openalex.org/W4288086180"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2912135041"],"abstract_inverted_index":{"While":[0],"the":[1,31,67,121,125],"embedded":[2],"security":[3],"research":[4],"community":[5],"aims":[6],"to":[7,26,41,49,76,99,115],"protect":[8,100],"systems":[9],"by":[10],"reducing":[11],"analog":[12],"sensor":[13,20],"side":[14,21,63,87,118],"channels,":[15],"our":[16],"work":[17,29,90],"argues":[18],"that":[19,117],"channels":[22,119],"can":[23],"be":[24],"beneficial":[25],"defenders.":[27],"This":[28],"introduces":[30],"general":[32,68],"problem":[33],"of":[34,95,113],"synthesizing":[35],"virtual":[36,79],"sensors":[37,62],"from":[38,83],"existing":[39],"circuits":[40],"authenticate":[42],"physical":[43],"sensors\u2019":[44],"measurands.":[45],"We":[46],"investigate":[47],"how":[48,114],"apply":[50],"this":[51,97],"approach":[52],"and":[53,59],"present":[54],"a":[55,72,78,84],"preliminary":[56],"analytical":[57],"framework":[58],"definitions":[60],"for":[61],"channels.":[64],"To":[65],"illustrate":[66],"concept,":[69],"we":[70,109],"provide":[71],"proof-of-concept":[73],"case":[74],"study":[75],"synthesize":[77],"inertial":[80],"measurement":[81],"unit":[82],"camera":[85],"motion":[86],"channel.":[88],"Our":[89],"also":[91],"provides":[92],"an":[93],"example":[94],"applying":[96],"technique":[98],"facial":[101],"recognition":[102],"against":[103],"silicon":[104],"mask":[105],"spoofing":[106],"attacks.":[107],"Finally,":[108],"discuss":[110],"downstream":[111],"problems":[112],"ensure":[116],"benefit":[120],"defender,":[122],"but":[123],"not":[124],"adversary,":[126],"during":[127],"authentication.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
