{"id":"https://openalex.org/W7123347794","doi":"https://doi.org/10.1109/tdsc.2026.3652192","title":"Estimating Channel Knowledge for Robust Steganography","display_name":"Estimating Channel Knowledge for Robust Steganography","publication_year":2026,"publication_date":"2026-01-12","ids":{"openalex":"https://openalex.org/W7123347794","doi":"https://doi.org/10.1109/tdsc.2026.3652192"},"language":null,"primary_location":{"id":"doi:10.1109/tdsc.2026.3652192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2026.3652192","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Dependable and Secure Computing","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/A5122870338","display_name":"Qingxiao Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxiao Guan","raw_affiliation_strings":["Institute of Artificial Intelligence, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8193-1234","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122904594","display_name":"Ye Han","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Han","raw_affiliation_strings":["Guangzhou University, Guangdong Key Laboratory of Industrial Control System Security, Cyberspace Institute of Advanced Technology, Huangpu Research School, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-7345-3987","affiliations":[{"raw_affiliation_string":"Guangzhou University, Guangdong Key Laboratory of Industrial Control System Security, Cyberspace Institute of Advanced Technology, Huangpu Research School, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017086135","display_name":"Chunfang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142167","display_name":"DigitalSpace (United States)","ror":"https://ror.org/04h1th525","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunfang Yang","raw_affiliation_strings":["Key Laboratory of Cyberspace Security, Henan Key Laboratory of Cyberspace Situation Awareness, Ministry of Education of China, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6487-379X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Security, Henan Key Laboratory of Cyberspace Situation Awareness, Ministry of Education of China, Zhengzhou, China","institution_ids":["https://openalex.org/I4210142167"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4028,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90936607,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":"3","first_page":"5226","last_page":"5241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9814000129699707,"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":0.9814000129699707,"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":0.004699999932199717,"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":0.002099999925121665,"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/steganography","display_name":"Steganography","score":0.8881999850273132},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6182000041007996},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5813000202178955},{"id":"https://openalex.org/keywords/steganalysis","display_name":"Steganalysis","score":0.5590000152587891},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5468999743461609},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5162000060081482},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5073000192642212},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4821000099182129},{"id":"https://openalex.org/keywords/steganography-tools","display_name":"Steganography tools","score":0.4611999988555908}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.8881999850273132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180999755859375},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6182000041007996},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5813000202178955},{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.5590000152587891},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5468999743461609},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5073000192642212},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4821000099182129},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47769999504089355},{"id":"https://openalex.org/C13179402","wikidata":"https://www.wikidata.org/wiki/Q7606662","display_name":"Steganography tools","level":4,"score":0.4611999988555908},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41670000553131104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38679999113082886},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.38040000200271606},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.34290000796318054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34060001373291016},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3361000120639801},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.3124000132083893},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26100000739097595},{"id":"https://openalex.org/C149862233","wikidata":"https://www.wikidata.org/wiki/Q864142","display_name":"Binary erasure channel","level":4,"score":0.2599000036716461}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2026.3652192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2026.3652192","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1540802198","display_name":null,"funder_award_id":"62472440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1908797315","display_name":null,"funder_award_id":"252300421064","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G2090778414","display_name":null,"funder_award_id":"62371145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Steganography":[0],"is":[1,115,132],"a":[2,30,150,175],"technique":[3],"for":[4,56,99,141,154],"embedding":[5,139],"secret":[6],"messages":[7,42],"into":[8],"digital":[9],"media":[10,122],"while":[11],"preserving":[12],"perceptual":[13],"integrity":[14],"and":[15,124,206],"avoiding":[16],"detection.":[17],"Robust":[18],"steganography":[19,58,172,196],"specifically":[20],"enables":[21],"secure":[22],"communication":[23],"through":[24,185],"lossy":[25],"channels":[26],"with":[27,135],"disturbances,":[28],"where":[29],"critical":[31],"challenge":[32],"lies":[33],"in":[34,52,110,187],"the":[35,78,118,125,138],"receiver's":[36],"ability":[37],"to":[38,62,169,181],"accurately":[39],"reconstruct":[40],"hidden":[41],"from":[43,85],"corrupted":[44],"stego":[45,53,82],"data-a":[46],"process":[47],"termed":[48],"error-correction.":[49],"Recent":[50],"advancements":[51],"coding":[54,207],"schemes":[55,68],"robust":[57,142,171,195],"leverage":[59],"probabilistic":[60],"decoding":[61],"enhance":[63,182],"message":[64,183],"error-correction":[65,162],"accuracy.":[66],"These":[67],"employ":[69],"Maximum-A-Posteriori":[70],"(MAP)":[71],"decoders":[72],"that":[73,199],"integrate":[74],"channel":[75,94,128,156],"knowledge,":[76],"i.e.":[77],"probability":[79],"distribution":[80],"of":[81,92,121,127,137],"symbols":[83],"derived":[84],"received":[86],"data,":[87],"thus":[88],"necessitating":[89],"precise":[90],"estimation":[91,179],"such":[93],"knowledge.":[95],"While":[96],"existing":[97,203],"approach":[98,201],"Channel":[100],"Knowledge":[101],"Estimation":[102],"(CKE)":[103],"relies":[104],"on":[105,192],"heuristic,":[106],"handcrafted":[107],"methods":[108,197,205],"grounded":[109],"empirical":[111],"assumptions,":[112],"its":[113],"effectiveness":[114],"limited":[116],"by":[117],"inherent":[119],"complexity":[120],"content":[123],"diversity":[126],"disturbance.":[129],"Besides,":[130],"it":[131],"not":[133],"compatible":[134],"some":[136],"method":[140],"steganography.":[143],"To":[144],"address":[145],"these":[146],"limitations,":[147],"we":[148,165],"propose":[149],"deep":[151],"learning-based":[152],"framework":[153,168],"universal":[155],"knowledge":[157,178],"estimation,":[158],"which":[159],"significantly":[160],"improves":[161],"performance.":[163],"Furthermore,":[164],"extend":[166],"this":[167],"multi-channels":[170,177],"scenarios,":[173],"formulating":[174],"novel":[176],"paradigm":[180],"correctness":[184],"transmission":[186],"multiple":[188],"channels.":[189],"Experimental":[190],"results":[191],"various":[193],"state-of-the-art":[194],"demonstrate":[198],"our":[200],"outperforms":[202],"CKE":[204],"schemes.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2026-01-14T00:00:00"}
