{"id":"https://openalex.org/W2021505776","doi":"https://doi.org/10.1109/icassp.2013.6638218","title":"Optimal counterforensics for histogram-based forensics","display_name":"Optimal counterforensics for histogram-based forensics","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2021505776","doi":"https://doi.org/10.1109/icassp.2013.6638218","mag":"2021505776"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5038872849","display_name":"Pedro Comesa\u00f1a","orcid":"https://orcid.org/0000-0001-5406-0066"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Comesana-Alfaro","raw_affiliation_strings":["EE Telecomunicacion, University of Vigo-SPAIN, Vigo, Spain","EE Telecomun., Univ. of Vigo - SPAIN, Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Telecomunicacion, University of Vigo-SPAIN, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"EE Telecomun., Univ. of Vigo - SPAIN, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076826398","display_name":"Fernando P\u00e9rez\u2010Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-0568-1373"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Perez-Gonzalez","raw_affiliation_strings":["EE Telecomunicacion, University of Vigo-SPAIN, Vigo, Spain","EE Telecomun., Univ. of Vigo - SPAIN, Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Telecomunicacion, University of Vigo-SPAIN, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"EE Telecomun., Univ. of Vigo - SPAIN, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I6289922"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3048","last_page":"3052"},"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":0.992900013923645,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688383936882019},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.683090090751648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.377642422914505},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10970816016197205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688383936882019},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.683090090751648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.377642422914505},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10970816016197205}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W200526583","https://openalex.org/W202145487","https://openalex.org/W583356579","https://openalex.org/W1522320082","https://openalex.org/W2000434686","https://openalex.org/W2012302517","https://openalex.org/W2050991548","https://openalex.org/W2059907896","https://openalex.org/W2095657345","https://openalex.org/W2096754397","https://openalex.org/W2096933452","https://openalex.org/W2118779391","https://openalex.org/W2123889042","https://openalex.org/W2123965969","https://openalex.org/W2124695272","https://openalex.org/W2133665775","https://openalex.org/W2145915941","https://openalex.org/W2147386143","https://openalex.org/W2148610715","https://openalex.org/W2155180118","https://openalex.org/W2158996282","https://openalex.org/W2166805414","https://openalex.org/W2167008044","https://openalex.org/W4255023712","https://openalex.org/W6608096262","https://openalex.org/W6608305466"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"a":[3,42,48,62,98],"recent":[4],"interest":[5],"in":[6,44,78],"counterforensics":[7,19],"as":[8],"an":[9],"adversarial":[10],"approach":[11],"to":[12,46,70,84,95],"forensic":[13],"detectors.":[14],"Most":[15],"of":[16,41,61,88],"the":[17,37,59,71,75,79,86,89],"existing":[18],"strategies,":[20],"although":[21],"successful,":[22],"are":[23],"based":[24],"on":[25,58],"heuristic":[26],"criteria,":[27],"and":[28],"their":[29],"optimality":[30],"is":[31,52,68],"not":[32],"proven.":[33],"In":[34,82],"this":[35],"paper":[36],"optimal":[38,76],"modification":[39],"strategy":[40],"content":[43],"order":[45,83],"fool":[47],"histogram-based":[49],"forensics":[50],"detector":[51],"derived.":[53],"The":[54],"proposed":[55,90],"attack":[56,77,97],"relies":[57],"assumption":[60],"convex":[63],"cost":[64],"function;":[65],"special":[66],"attention":[67],"paid":[69],"Euclidean":[72],"norm,":[73],"obtaining":[74],"MSE":[80],"sense.":[81],"prove":[85],"usefulness":[87],"strategy,":[91],"we":[92],"employ":[93],"it":[94],"successfully":[96],"well-known":[99],"algorithm":[100],"for":[101],"detecting":[102],"double":[103],"JPEG":[104],"compression.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
