{"id":"https://openalex.org/W4411799629","doi":"https://doi.org/10.1109/lsp.2025.3584296","title":"A Labeled Intermediate Domain Aided Two-Domain Correlation Fusion for Mismatched Steganalysis","display_name":"A Labeled Intermediate Domain Aided Two-Domain Correlation Fusion for Mismatched Steganalysis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411799629","doi":"https://doi.org/10.1109/lsp.2025.3584296"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3584296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3584296","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5070111961","display_name":"Shaowei Weng","orcid":"https://orcid.org/0000-0003-1037-7699"},"institutions":[{"id":"https://openalex.org/I165911609","display_name":"Changsha Medical University","ror":"https://ror.org/05dt7z971","country_code":"CN","type":"education","lineage":["https://openalex.org/I165911609"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowei Weng","raw_affiliation_strings":["School of Information Engineering, Changsha Medical University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1037-7699","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Changsha Medical University, Changsha, China","institution_ids":["https://openalex.org/I165911609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645665","display_name":"Li Yang","orcid":"https://orcid.org/0000-0002-1889-3113"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067543068","display_name":"Lifang Yu","orcid":"https://orcid.org/0000-0002-0508-7526"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifang Yu","raw_affiliation_strings":["Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0508-7526","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084481998","display_name":"Gang Cao","orcid":"https://orcid.org/0000-0002-4549-0125"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Cao","raw_affiliation_strings":["School of Computer and Cyber Sciences, Communication University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4549-0125","affiliations":[{"raw_affiliation_string":"School of Computer and Cyber Sciences, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liwen Chen","orcid":"https://orcid.org/0009-0007-8375-1596"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwen Chen","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-8375-1596","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76017139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"2937","last_page":"2941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9930999875068665,"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":0.7073770761489868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6086365580558777},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5756409168243408},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5676784515380859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5599175691604614},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5280369520187378},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5217669606208801},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3078574538230896},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.19318902492523193},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.16588932275772095}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.7073770761489868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086365580558777},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5756409168243408},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5676784515380859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5599175691604614},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5280369520187378},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5217669606208801},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3078574538230896},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.19318902492523193},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.16588932275772095},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3584296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3584296","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W1901129140","https://openalex.org/W1976570511","https://openalex.org/W2002029921","https://openalex.org/W2009130368","https://openalex.org/W2030997406","https://openalex.org/W2040299224","https://openalex.org/W2104094955","https://openalex.org/W2155803963","https://openalex.org/W2170598445","https://openalex.org/W2192227561","https://openalex.org/W2473333187","https://openalex.org/W2538511122","https://openalex.org/W2542290803","https://openalex.org/W2892948265","https://openalex.org/W2960934316","https://openalex.org/W2963957509","https://openalex.org/W2969585684","https://openalex.org/W2985144471","https://openalex.org/W3013691689","https://openalex.org/W3033488926","https://openalex.org/W3046549894","https://openalex.org/W3092500685","https://openalex.org/W3127019406","https://openalex.org/W3207199141","https://openalex.org/W4246193833","https://openalex.org/W4293057081","https://openalex.org/W4312540108","https://openalex.org/W4384938593","https://openalex.org/W4386799837","https://openalex.org/W4388624620","https://openalex.org/W4392693588","https://openalex.org/W4401520245","https://openalex.org/W4403446210","https://openalex.org/W6729448088","https://openalex.org/W6745136726"],"related_works":["https://openalex.org/W2043480362","https://openalex.org/W2132040196","https://openalex.org/W4318664210","https://openalex.org/W2891791183","https://openalex.org/W2792878404","https://openalex.org/W2912595597","https://openalex.org/W149479374","https://openalex.org/W2902620118","https://openalex.org/W2917657850","https://openalex.org/W2992720758"],"abstract_inverted_index":{"When":[0],"the":[1,8,14,20,37,68,77,92,107,117,148,157,170,177,182,187,199],"target":[2,80,158,183],"images":[3,10],"to":[4,12,28,58,79,87,101,105,156,168,185,197],"be":[5,66],"detected":[6],"and":[7,96,121,137],"source":[9,93,179],"used":[11],"train":[13],"steganalyzer":[15],"come":[16],"from":[17],"different":[18],"distributions,":[19],"cover-source":[21],"mismatch":[22],"(CSM)":[23],"occurs,":[24],"which":[25],"often":[26],"leads":[27],"a":[29,42,54,60,83,129,138,154],"sharp":[30],"decrease":[31],"in":[32],"detection":[33],"accuracy.":[34],"To":[35,65],"alleviate":[36],"problem,":[38],"this":[39],"letter":[40],"proposes":[41],"four-stage":[43],"steganalyzer,":[44],"named":[45],"ICSNet.":[46],"The":[47,111,192],"first":[48,75],"three":[49],"stages":[50,194],"concentrate":[51],"on":[52,115],"generating":[53],"labeled":[55,69,149,178],"intermediate":[56,70,89,103,109,150],"domain":[57,71,94,151,180,184],"build":[59],"bridge":[61],"between":[62,124,202],"source/target":[63,125,162,203],"domains.":[64],"specific,":[67],"is":[72],"constructed":[73],"by":[74,127],"adding":[76,85],"noise":[78,84],"samples":[81,90,104],"using":[82],"module":[86,136],"generate":[88,106],"following":[91],"distribution,":[95],"subsequently":[97],"performing":[98],"data":[99],"embedding":[100],"these":[102],"stego":[108],"samples.":[110],"last":[112],"stage":[113],"focuses":[114],"strengthening":[116],"fusion":[118,134,143,171,188],"of":[119,172,189],"channel-wise":[120,132,173],"spatial":[122,141,190],"correlations":[123],"domains":[126,163],"presenting":[128],"coarse-to-fine":[130],"two-domain":[131,140],"correlation":[133,142],"(CCF)":[135],"source-guided":[139],"(SCF)":[144],"module.":[145],"In":[146,175],"CCF,":[147],"works":[152],"as":[153],"supplementary":[155],"domain,":[159],"so":[160],"that":[161,212],"can":[164],"guide":[165],"each":[166],"other":[167],"reinforce":[169],"correlations.":[174,191],"SCF,":[176],"guides":[181],"consolidate":[186],"four":[193],"work":[195],"together":[196],"reduce":[198],"distribution":[200],"shift":[201],"domains,":[204],"thereby":[205],"bringing":[206],"performance":[207],"improvement.":[208],"Experimental":[209],"results":[210],"demonstrate":[211],"ICSNet":[213],"significantly":[214],"outperforms":[215],"existing":[216],"methods":[217],"across":[218],"various":[219],"CSM":[220],"scenarios.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}