{"id":"https://openalex.org/W2088758928","doi":"https://doi.org/10.1109/wifs.2014.7084317","title":"The optimal attack to histogram-based forensic detectors is simple(x)","display_name":"The optimal attack to histogram-based forensic detectors is simple(x)","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2088758928","doi":"https://doi.org/10.1109/wifs.2014.7084317","mag":"2088758928"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2014.7084317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2014.7084317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Workshop on Information Forensics and Security (WIFS)","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","raw_affiliation_strings":["Signal Theory and Communications Department, University Vigo E. E. Telecomunicaci\u00f3n, Vigo, Spain","Signal Theory and Communications Department, University Vigo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Theory and Communications Department, University Vigo E. E. Telecomunicaci\u00f3n, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Signal Theory and Communications Department, University Vigo","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/I106437751","display_name":"Centro Tecnol\u00f3xico de Telecomunicaci\u00f3ns de Galicia","ror":"https://ror.org/045ncxc88","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I106437751"]},{"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":["Signal Theory and Communications Department, University Vigo E. E. Telecomunicaci\u00f3n, Vigo, Spain","GRADIANT (Galician Research and Development Center in Advanced Telecommunications), Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Theory and Communications Department, University Vigo E. E. Telecomunicaci\u00f3n, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"GRADIANT (Galician Research and Development Center in Advanced Telecommunications), Spain","institution_ids":["https://openalex.org/I106437751"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T13720","display_name":"Benford\u2019s Law and Fraud Detection","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9948999881744385,"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/histogram","display_name":"Histogram","score":0.7122858762741089},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7105088233947754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984124183654785},{"id":"https://openalex.org/keywords/benfords-law","display_name":"Benford's law","score":0.6797531843185425},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6555531024932861},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5810343027114868},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5329238772392273},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4796645939350128},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4155676066875458},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3976256549358368},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3356550931930542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30160829424858093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18901151418685913},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14416885375976562},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11206549406051636},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10502326488494873}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7122858762741089},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7105088233947754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984124183654785},{"id":"https://openalex.org/C152636012","wikidata":"https://www.wikidata.org/wiki/Q817168","display_name":"Benford's law","level":2,"score":0.6797531843185425},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6555531024932861},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5810343027114868},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5329238772392273},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4796645939350128},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4155676066875458},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3976256549358368},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3356550931930542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30160829424858093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18901151418685913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14416885375976562},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11206549406051636},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10502326488494873},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wifs.2014.7084317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2014.7084317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320333065","display_name":"Seventh Framework Programme","ror":null},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522320082","https://openalex.org/W1965755265","https://openalex.org/W1965912245","https://openalex.org/W2000434686","https://openalex.org/W2021505776","https://openalex.org/W2030023819","https://openalex.org/W2070040249","https://openalex.org/W2075691757","https://openalex.org/W2096933452","https://openalex.org/W2103232506","https://openalex.org/W2111280862","https://openalex.org/W2121737526","https://openalex.org/W2123965969","https://openalex.org/W2127470768","https://openalex.org/W2133665775","https://openalex.org/W2145915941","https://openalex.org/W2148610715","https://openalex.org/W2155180118","https://openalex.org/W2158996282","https://openalex.org/W2167008044","https://openalex.org/W3148833453","https://openalex.org/W4255023712","https://openalex.org/W4301216918","https://openalex.org/W6668164699"],"related_works":["https://openalex.org/W2734415684","https://openalex.org/W2165048824","https://openalex.org/W1980147927","https://openalex.org/W3124667545","https://openalex.org/W4212843477","https://openalex.org/W2254161145","https://openalex.org/W3208799667","https://openalex.org/W3128979240","https://openalex.org/W3006562563","https://openalex.org/W235983724"],"abstract_inverted_index":{"In":[0],"the":[1,49,64,67,71,88,94,102,111,114],"last":[2],"years":[3],"a":[4,23,79],"number":[5],"of":[6,14,56,73,93,101,116],"counterforensics":[7],"tools":[8],"have":[9],"been":[10,34],"proposed.":[11],"Although":[12],"most":[13],"them":[15],"are":[16],"heuristic":[17],"and":[18],"designed":[19],"ad":[20],"hoc,":[21],"lately":[22],"formal":[24],"approach":[25],"to":[26,70],"this":[27,39],"problem,":[28],"rooted":[29],"in":[30],"transportation":[31],"theory,":[32],"has":[33,82],"pursued.":[35],"This":[36],"paper":[37],"follows":[38],"path":[40],"by":[41,61,87],"designing":[42],"optimal":[43,68],"attacks":[44,74],"against":[45,75,107],"histogrambased":[46],"detectors":[47],"where":[48],"detection":[50],"region":[51],"is":[52,59,97],"non-convex.":[53],"The":[54,91],"usefulness":[55],"our":[57,117],"strategy":[58],"demonstrated":[60],"providing":[62],"for":[63],"first":[65],"time":[66],"solution":[69],"design":[72],"Benford's":[76],"Law-based":[77],"detectors,":[78,109],"problem":[80],"that":[81,100],"deserved":[83],"large":[84],"practical":[85],"interest":[86],"forensic":[89],"community.":[90],"performance":[92],"proposed":[95],"scheme":[96],"compared":[98],"with":[99],"best":[103],"existing":[104],"counterforensic":[105],"method":[106],"Benford-based":[108],"showing":[110],"goodness":[112],"(indeed,":[113],"optimality)":[115],"approach.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}