{"id":"https://openalex.org/W4386211317","doi":"https://doi.org/10.1109/iscc58397.2023.10217840","title":"A Hybrid 2D-1D CNN for Scanner Device Linking Based on Scanning Noise","display_name":"A Hybrid 2D-1D CNN for Scanner Device Linking Based on Scanning Noise","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4386211317","doi":"https://doi.org/10.1109/iscc58397.2023.10217840"},"language":"en","primary_location":{"id":"doi:10.1109/iscc58397.2023.10217840","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscc58397.2023.10217840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium on Computers and Communications (ISCC)","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/A5045733261","display_name":"Chaima Ben Rabah","orcid":"https://orcid.org/0000-0003-4153-3287"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Chaima Ben Rabah","raw_affiliation_strings":["University of Carthage, SUPCOM,LR11TIC04 COSIM,Ariana,Tunisia","LR11TIC04 COSIM, University of Carthage, SUPCOM, Ariana, Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Carthage, SUPCOM,LR11TIC04 COSIM,Ariana,Tunisia","institution_ids":["https://openalex.org/I179097149"]},{"raw_affiliation_string":"LR11TIC04 COSIM, University of Carthage, SUPCOM, Ariana, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062289182","display_name":"Gouenou Coatrieux","orcid":"https://orcid.org/0000-0002-5643-0224"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gouenou Coatrieux","raw_affiliation_strings":["Institut Mines-Telecom, IMT Atlantique,Inserm UMR 1101 Latim,Brest,France","Inserm UMR 1101 Latim, Institut Mines-Telecom, IMT Atlantique, Brest, France"],"affiliations":[{"raw_affiliation_string":"Institut Mines-Telecom, IMT Atlantique,Inserm UMR 1101 Latim,Brest,France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I205703379","https://openalex.org/I4210127572"]},{"raw_affiliation_string":"Inserm UMR 1101 Latim, Institut Mines-Telecom, IMT Atlantique, Brest, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I154526488","https://openalex.org/I4210127572"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014624804","display_name":"Riadh Abdelfattah","orcid":"https://orcid.org/0000-0002-0875-4857"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Riadh Abdelfattah","raw_affiliation_strings":["University of Carthage, SUPCOM,LR11TIC04 COSIM,Ariana,Tunisia","LR11TIC04 COSIM, University of Carthage, SUPCOM, Ariana, Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Carthage, SUPCOM,LR11TIC04 COSIM,Ariana,Tunisia","institution_ids":["https://openalex.org/I179097149"]},{"raw_affiliation_string":"LR11TIC04 COSIM, University of Carthage, SUPCOM, Ariana, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045733261"],"corresponding_institution_ids":["https://openalex.org/I179097149"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09715944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"495","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9925000071525574,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.7847468852996826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.59820556640625},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5718212127685547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30091026425361633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05609029531478882}],"concepts":[{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.7847468852996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59820556640625},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5718212127685547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30091026425361633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05609029531478882}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc58397.2023.10217840","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscc58397.2023.10217840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium on Computers and Communications (ISCC)","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":15,"referenced_works":["https://openalex.org/W2124695272","https://openalex.org/W2201133991","https://openalex.org/W2232001747","https://openalex.org/W2789643644","https://openalex.org/W2801560392","https://openalex.org/W2802676742","https://openalex.org/W2893125519","https://openalex.org/W3002496417","https://openalex.org/W3035515701","https://openalex.org/W3119660979","https://openalex.org/W3170621807","https://openalex.org/W3202553706","https://openalex.org/W4229020338","https://openalex.org/W6751222365","https://openalex.org/W6802104909"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4232857084","https://openalex.org/W4245233074","https://openalex.org/W2167384162","https://openalex.org/W2001485867","https://openalex.org/W4402492658","https://openalex.org/W1517555227","https://openalex.org/W2653993779","https://openalex.org/W2911295078"],"abstract_inverted_index":{"Ensuring":[0],"the":[1,38,55,60,81,100,130,140],"authenticity":[2],"of":[3,7,59,110,135,143],"scanned":[4,29,121],"documents":[5,76,112],"is":[6,42,89,117],"major":[8],"concern,":[9],"these":[10],"ones":[11],"being":[12],"often":[13],"admitted":[14],"as":[15,91],"evidence":[16],"by":[17,30,57],"organizations.":[18],"\u201cIs":[19],"there":[20],"any":[21],"way":[22],"to":[23,37,72,129,138],"verify":[24],"that":[25,67,114],"a":[26,31,43,87,107],"document":[27],"was":[28],"device":[32,40,92],"without":[33],"having":[34],"access":[35],"physically":[36],"source":[39],"itself?\u201d":[41],"wide-open":[44],"question.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"aim":[50],"at":[51],"answering":[52],"it":[53],"in":[54,119,146],"affirmative":[56],"means":[58],"first":[61],"data-driven":[62],"hybrid":[63],"machine":[64],"learning":[65],"framework":[66],"compares":[68],"image":[69],"noise":[70],"features":[71],"check":[73],"if":[74,124],"two":[75],"have":[77],"been":[78],"digitized":[79],"with":[80],"same":[82,101],"scanner":[83,104,125],"or":[84],"not.":[85],"Such":[86],"problem":[88],"known":[90],"linking":[93,120],"function.":[94],"Different":[95],"comparative":[96],"experiments":[97],"conducted":[98],"on":[99,106],"and":[102],"different":[103],"models":[105],"broad":[108],"set":[109],"administrative":[111],"demonstrate":[113],"our":[115],"method":[116],"efficient":[118],"images":[122],"even":[123],"devices":[126],"are":[127],"unknown":[128],"investigator.":[131],"Our":[132],"success":[133],"rate":[134],"96%":[136],"appears":[137],"be":[139],"novel":[141],"state":[142],"art":[144],"reference":[145],"such":[147],"application":[148],"domain.":[149]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}