{"id":"https://openalex.org/W2032317389","doi":"https://doi.org/10.1145/2756601.2756621","title":"Effect of Imprecise Knowledge of the Selection Channel on Steganalysis","display_name":"Effect of Imprecise Knowledge of the Selection Channel on Steganalysis","publication_year":2015,"publication_date":"2015-06-02","ids":{"openalex":"https://openalex.org/W2032317389","doi":"https://doi.org/10.1145/2756601.2756621","mag":"2032317389"},"language":"en","primary_location":{"id":"doi:10.1145/2756601.2756621","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2756601.2756621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security","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/A5036969459","display_name":"Vahid Sedighi","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vahid Sedighi","raw_affiliation_strings":["Binghamton University, Binghamton, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081020569","display_name":"Jessica Fridrich","orcid":"https://orcid.org/0009-0003-6516-628X"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Fridrich","raw_affiliation_strings":["Binghamton University, Binghamton, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":0.6758,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78909865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"42"},"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":0.9998000264167786,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","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":0.8905253410339355},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.817787766456604},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.704578161239624},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6952769756317139},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6806141138076782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.64041668176651},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6318663358688354},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5151757001876831},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.4757539927959442},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4709138572216034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4539695382118225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4117549657821655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39473581314086914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35025882720947266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32820218801498413},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1343938112258911},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11257219314575195},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10190287232398987}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.8905253410339355},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.817787766456604},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.704578161239624},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6952769756317139},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6806141138076782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64041668176651},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6318663358688354},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5151757001876831},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.4757539927959442},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4709138572216034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4539695382118225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4117549657821655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39473581314086914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35025882720947266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32820218801498413},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1343938112258911},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11257219314575195},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10190287232398987},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2756601.2756621","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2756601.2756621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5870223447","display_name":null,"funder_award_id":"FA9950-12-1-0124","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W10162706","https://openalex.org/W29803638","https://openalex.org/W1422592601","https://openalex.org/W1527259058","https://openalex.org/W1583407400","https://openalex.org/W1590456553","https://openalex.org/W1760530029","https://openalex.org/W1806317803","https://openalex.org/W1875845630","https://openalex.org/W1955882805","https://openalex.org/W1968832000","https://openalex.org/W1969171557","https://openalex.org/W1976570511","https://openalex.org/W2006286269","https://openalex.org/W2009130368","https://openalex.org/W2011125616","https://openalex.org/W2015721798","https://openalex.org/W2015958747","https://openalex.org/W2027272619","https://openalex.org/W2036237598","https://openalex.org/W2040299224","https://openalex.org/W2040953223","https://openalex.org/W2059019537","https://openalex.org/W2059049081","https://openalex.org/W2064039105","https://openalex.org/W2071451750","https://openalex.org/W2085924571","https://openalex.org/W2104705565","https://openalex.org/W2117500881","https://openalex.org/W2123170991","https://openalex.org/W2124664712","https://openalex.org/W2133743319","https://openalex.org/W2134527668","https://openalex.org/W2136035751","https://openalex.org/W2136492908","https://openalex.org/W2139842737","https://openalex.org/W2143674916","https://openalex.org/W2155447586","https://openalex.org/W2163446914","https://openalex.org/W2533733328","https://openalex.org/W2538511122","https://openalex.org/W2539782905","https://openalex.org/W2542290803","https://openalex.org/W2545241995","https://openalex.org/W2548753991","https://openalex.org/W2913153438","https://openalex.org/W4210764419","https://openalex.org/W6638363521","https://openalex.org/W6642607108"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W2068740952","https://openalex.org/W1583147569","https://openalex.org/W2182496537","https://openalex.org/W2792878404","https://openalex.org/W3154843532"],"abstract_inverted_index":{"It":[0,179],"has":[1],"recently":[2],"been":[3],"shown":[4],"that":[5,43,70,132,163],"steganalysis":[6,176],"of":[7,22,60,78,92,111,136,195],"content-adaptive":[8],"steganography":[9,125],"can":[10],"be":[11],"improved":[12],"when":[13,63],"the":[14,20,23,27,31,44,50,58,64,81,109,134,146,166,193],"Warden":[15,45,65],"incorporates":[16],"in":[17,153,165,198],"her":[18],"detector":[19,139],"knowledge":[21],"selection":[24,68,167,185],"channel":[25,69,168,186],"--":[26,96,124],"probabilities":[28],"with":[29,100],"which":[30],"individual":[32],"cover":[33,116,143],"elements":[34],"were":[35],"modified":[36],"during":[37],"embedding.":[38],"Such":[39],"attacks":[40],"implicitly":[41],"assume":[42],"knows":[46],"at":[47],"least":[48],"approximately":[49],"payload":[51],"size.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"study":[57],"loss":[59,86],"detection":[61,177],"accuracy":[62],"uses":[66],"a":[67,115,141,172],"was":[71],"imprecisely":[72],"determined":[73],"either":[74],"due":[75],"to":[76,182],"lack":[77],"information":[79],"or":[80],"stego":[82],"changes":[83],"themselves.":[84],"The":[85],"is":[87],"investigated":[88],"for":[89],"two":[90],"types":[91],"qualitatively":[93,152],"different":[94,119,156],"detectors":[95,106,197],"binary":[97],"classifiers":[98],"equipped":[99],"selection-channel-aware":[101,196],"rich":[102],"models":[103],"and":[104,130,148,159],"optimal":[105,138],"derived":[107],"using":[108],"theory":[110],"hypothesis":[112],"testing":[113],"from":[114],"model.":[117,144],"Two":[118],"embedding":[120,131,157],"paradigms":[121],"are":[122,151],"addressed":[123],"based":[126],"on":[127,175],"minimizing":[128],"distortion":[129],"minimizes":[133],"detectability":[135],"an":[137],"within":[140],"chosen":[142],"Remarkably,":[145],"experimental":[147],"theoretical":[149],"evidence":[150],"agreement":[154],"across":[155],"methods,":[158],"both":[160],"point":[161],"out":[162],"inaccuracies":[164],"do":[169],"not":[170],"have":[171],"strong":[173],"effect":[174],"errors.":[178],"pays":[180],"off":[181],"use":[183,194],"imprecise":[184],"rather":[187],"than":[188],"none.":[189],"Our":[190],"findings":[191],"validate":[192],"practice.":[199]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}