{"id":"https://openalex.org/W2016419400","doi":"https://doi.org/10.1145/1288869.1288879","title":"Digital audio forensics","display_name":"Digital audio forensics","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2016419400","doi":"https://doi.org/10.1145/1288869.1288879","mag":"2016419400"},"language":"en","primary_location":{"id":"doi:10.1145/1288869.1288879","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1288869.1288879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th workshop on Multimedia & security  - MM&Sec '07","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/A5062570664","display_name":"Christian Kraetzer","orcid":"https://orcid.org/0000-0002-0138-4638"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Kraetzer","raw_affiliation_strings":["Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","Otto-von-Guericke University of Magdeburg, Magdeburg, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]},{"raw_affiliation_string":"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany#TAB#","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037470810","display_name":"Andrea Oermann","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andrea Oermann","raw_affiliation_strings":["Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","Otto-von-Guericke University of Magdeburg, Magdeburg, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]},{"raw_affiliation_string":"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany#TAB#","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033843025","display_name":"Jana Dittmann","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jana Dittmann","raw_affiliation_strings":["Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","Otto-von-Guericke University of Magdeburg, Magdeburg, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]},{"raw_affiliation_string":"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany#TAB#","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102735933","display_name":"Andreas Lang","orcid":"https://orcid.org/0000-0002-5706-4940"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Lang","raw_affiliation_strings":["Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","Otto-von-Guericke University of Magdeburg, Magdeburg, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]},{"raw_affiliation_string":"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany#TAB#","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95793202"],"apc_list":null,"apc_paid":null,"fwci":5.5921,"has_fulltext":false,"cited_by_count":145,"citation_normalized_percentile":{"value":0.96026524,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"63"},"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/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9979000091552734,"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/steganalysis","display_name":"Steganalysis","score":0.9425839781761169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7830191850662231},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5616633296012878},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5412966012954712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5408222675323486},{"id":"https://openalex.org/keywords/digital-audio","display_name":"Digital audio","score":0.5386497974395752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5235521197319031},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5098540186882019},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46314379572868347},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.4631011188030243},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4511498808860779},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.4387964606285095},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4330931305885315},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.42168670892715454},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4144653081893921},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3338465094566345},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.29053857922554016},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.22051581740379333},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17697003483772278},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.12321251630783081}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9425839781761169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7830191850662231},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5616633296012878},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5412966012954712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5408222675323486},{"id":"https://openalex.org/C87687168","wikidata":"https://www.wikidata.org/wiki/Q173114","display_name":"Digital audio","level":4,"score":0.5386497974395752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5235521197319031},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5098540186882019},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46314379572868347},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.4631011188030243},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4511498808860779},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.4387964606285095},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4330931305885315},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42168670892715454},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4144653081893921},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3338465094566345},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.29053857922554016},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.22051581740379333},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17697003483772278},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.12321251630783081},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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:10.1145/1288869.1288879","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1288869.1288879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th workshop on Multimedia & security  - MM&Sec '07","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W1964095033","https://openalex.org/W1988600563","https://openalex.org/W2018988646","https://openalex.org/W2025622077","https://openalex.org/W2032268986","https://openalex.org/W2065552077","https://openalex.org/W2079317077","https://openalex.org/W2096335861","https://openalex.org/W2124695272","https://openalex.org/W2127218421","https://openalex.org/W2128967345","https://openalex.org/W2260281411","https://openalex.org/W2613161123","https://openalex.org/W2966207845","https://openalex.org/W2993822473"],"related_works":["https://openalex.org/W4243922849","https://openalex.org/W2939392096","https://openalex.org/W2148973528","https://openalex.org/W2930153478","https://openalex.org/W4309385482","https://openalex.org/W2040931326","https://openalex.org/W2792878404","https://openalex.org/W1583147569","https://openalex.org/W2068740952","https://openalex.org/W2182496537"],"abstract_inverted_index":{"In":[0,141],"this":[1,111,146],"paper":[2],"a":[3,37,73,98,135,180,186,244,252],"first":[4,32,99,112,136,233],"approach":[5],"for":[6,106,213],"digital":[7,22],"media":[8],"forensics":[9],"is":[10,34,155],"presented":[11,144],"to":[12,108,194,200,270],"determine":[13],"the":[14,18,76,83,125,130,142,164,172,192,201,217,272],"used":[15,218],"microphones":[16,55,225],"and":[17,65,85,90,129,137,182,221,247,259],"environments":[19],"of":[20,42,71,75,88,101,132,163,239],"recorded":[21,48],"audio":[23,28,45,51,95,206],"samples":[24],"by":[25,53,82,93,124],"using":[26],"known":[27,94,205],"steganalysis":[29,96,127,207,223],"features.":[30,208],"Our":[31,209],"evaluation":[33],"based":[35,242],"on":[36,204,243],"limited":[38,138,245],"exemplary":[39],"test":[40,139,215,246,254,264],"set":[41,100,114,249,255,265],"10":[43,57],"different":[44,58,152,263],"reference":[46],"signals":[47],"as":[49,179,185,250],"mono":[50],"data":[52,173],"four":[54],"in":[56,91,145,198],"rooms":[59],"with":[60,151,177,191,262],"44.1":[61],"kHz":[62],"sampling":[63],"rate":[64],"16":[66],"bit":[67],"quantisation.":[68],"Note":[69],"that,":[70],"course,":[72],"generalisation":[74],"results":[77,210,237],"cannot":[78],"be":[79,227],"achieved.":[80],"Motivated":[81],"syntactical":[84],"semantical":[86],"analysis":[87,150],"information":[89],"particular":[92],"approaches,":[97],"specific":[102,253],"features":[103,128,261],"are":[104,167,189,241,268],"selected":[105,222],"classification":[107,171,187,197,202,219],"evaluate,":[109],"whether":[110],"feature":[113],"can":[115,226],"support":[116],"correct":[117],"classifications.":[118],"The":[119],"idea":[120],"was":[121],"mainly":[122],"driven":[123],"existing":[126],"question":[131],"applicability":[133],"within":[134],"set.":[140],"tests":[143,234],"paper,":[147],"an":[148],"inter-device":[149],"device":[153],"characteristics":[154],"performed":[156],"while":[157],"intra-device":[158],"evaluations":[159],"(identical":[160],"microphone":[161],"models":[162],"same":[165],"manufacturer)":[166],"not":[168],"considered.":[169],"For":[170],"mining":[174],"tool":[175],"WEKA":[176],"K-means":[178],"clustering":[181],"Naive":[183],"Bayes":[184],"technique":[188],"applied":[190],"goal":[193],"evaluate":[195],"their":[196],"regard":[199],"accuracy":[203],"show,":[211],"that":[212],"our":[214],"set,":[216],"techniques":[220],"features,":[224],"better":[228],"classified":[229],"than":[230],"environments.":[231],"These":[232],"show":[235],"promising":[236],"but":[238],"course":[240],"training":[248],"well":[251],"generation.":[256],"Therefore":[257],"additional":[258],"enhanced":[260],"generation":[266],"strategies":[267],"necessary":[269],"generalise":[271],"findings.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":21},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":7}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}