{"id":"https://openalex.org/W2063442212","doi":"https://doi.org/10.1145/2361407.2361410","title":"Steganalysis with mismatched covers","display_name":"Steganalysis with mismatched covers","publication_year":2012,"publication_date":"2012-09-06","ids":{"openalex":"https://openalex.org/W2063442212","doi":"https://doi.org/10.1145/2361407.2361410","mag":"2063442212"},"language":"en","primary_location":{"id":"doi:10.1145/2361407.2361410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2361407.2361410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Multimedia and security","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/A5017913001","display_name":"Ivans Lubenko","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ivans Lubenko","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111728681","display_name":"Andrew D. Ker","orcid":"https://orcid.org/0000-0002-1154-3305"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew D. Ker","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":3.6093,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.9387917,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","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/T12357","display_name":"Digital Media Forensic Detection","score":0.9986000061035156,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9962999820709229,"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":0.9515531063079834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.716162919998169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6707799434661865},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.636995255947113},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.605512261390686},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5679843425750732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5260158181190491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5224418044090271},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5055177211761475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3650144934654236},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.3321074843406677},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33118313550949097},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11751347780227661}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9515531063079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.716162919998169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6707799434661865},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.636995255947113},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.605512261390686},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5679843425750732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5260158181190491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5224418044090271},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5055177211761475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3650144934654236},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.3321074843406677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33118313550949097},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11751347780227661},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2361407.2361410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2361407.2361410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Multimedia and security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W29798142","https://openalex.org/W1590456553","https://openalex.org/W1966073167","https://openalex.org/W1979711143","https://openalex.org/W2031466562","https://openalex.org/W2036904261","https://openalex.org/W2054408106","https://openalex.org/W2078125794","https://openalex.org/W2101954717","https://openalex.org/W2102486516","https://openalex.org/W2103018059","https://openalex.org/W2112076978","https://openalex.org/W2124664712","https://openalex.org/W2141999940","https://openalex.org/W2153635508","https://openalex.org/W2165794341","https://openalex.org/W2166706236","https://openalex.org/W2167999072","https://openalex.org/W2999905431","https://openalex.org/W4249572517","https://openalex.org/W6659734748","https://openalex.org/W6674935536","https://openalex.org/W6675672627","https://openalex.org/W6676769703","https://openalex.org/W6680601508","https://openalex.org/W6684051797","https://openalex.org/W6684249991","https://openalex.org/W7002050966"],"related_works":["https://openalex.org/W2141705618","https://openalex.org/W1973823425","https://openalex.org/W2348964713","https://openalex.org/W2141999940","https://openalex.org/W2001972848","https://openalex.org/W2364921047","https://openalex.org/W2088247498","https://openalex.org/W3015341856","https://openalex.org/W2548359466","https://openalex.org/W2189187484"],"abstract_inverted_index":{"Modern":[0],"steganalysis":[1,85],"can":[2],"be":[3,66],"incredibly":[4],"sensitive":[5],"and":[6,73,76],"accurate,":[7],"but":[8],"only":[9],"in":[10,14],"an":[11],"artificial":[12],"setting":[13],"which":[15,103],"the":[16,21,27,46,58,92,107],"training":[17,35,72,101],"data":[18,28,102],"is":[19,55,82,104,115],"from":[20,57],"exact":[22],"same":[23],"image":[24],"source":[25,112],"as":[26],"being":[29],"tested.":[30],"When":[31],"faced":[32,99],"with":[33,91,100,106],"mismatched":[34,105],"data,":[36,75],"performance":[37],"degrades,":[38],"often":[39],"substantially.":[40],"Some":[41],"recent":[42],"publications":[43],"have":[44],"advocated":[45],"use":[47],"of":[48,113],"very":[49],"simple":[50,63],"classifiers":[51,64,88],"for":[52,84],"steganalysis.":[53],"It":[54],"folklore":[56],"machine":[59],"learning":[60],"literature":[61],"that":[62],"may":[65],"more":[67],"robust":[68],"to":[69],"variations":[70],"between":[71],"testing":[74,108],"this":[77,81],"paper":[78],"investigates":[79],"whether":[80],"true":[83],"also.":[86],"Simple":[87],"are":[89],"compared":[90],"classic":[93],"complex":[94],"Kernel":[95],"Support":[96],"Vector":[97],"Machine,":[98],"data.":[109],"A":[110],"real-world":[111],"images":[114],"used.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}