{"id":"https://openalex.org/W3042699315","doi":"https://doi.org/10.1109/tsipn.2021.3081373","title":"Robust Adaptive Steganography Based on Dither Modulation and Modification With Re-Compression","display_name":"Robust Adaptive Steganography Based on Dither Modulation and Modification With Re-Compression","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3042699315","doi":"https://doi.org/10.1109/tsipn.2021.3081373","mag":"3042699315"},"language":"en","primary_location":{"id":"doi:10.1109/tsipn.2021.3081373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsipn.2021.3081373","pdf_url":null,"source":{"id":"https://openalex.org/S4306422866","display_name":"IEEE Transactions on Signal and Information Processing over Networks","issn_l":"2373-776X","issn":["2373-776X","2373-7778"],"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 Transactions on Signal and Information Processing over Networks","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.08301","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035489942","display_name":"Zhaoxia Yin","orcid":"https://orcid.org/0000-0003-0387-4806"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxia Yin","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","Anhui University"],"raw_orcid":"https://orcid.org/0000-0003-0387-4806","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045432724","display_name":"Longfei Ke","orcid":"https://orcid.org/0000-0002-3733-3170"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfei Ke","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","[Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China]"],"raw_orcid":"https://orcid.org/0000-0002-3733-3170","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"[Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China]","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00444547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"336","last_page":"345"},"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9994999766349792,"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":0.9972000122070312,"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":0.8747869729995728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185477018356323},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6589438915252686},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6408696174621582},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.4271929860115051},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4191061854362488},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38461393117904663},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.37058591842651367},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3378426432609558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33201169967651367}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.8747869729995728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185477018356323},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6589438915252686},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6408696174621582},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.4271929860115051},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4191061854362488},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38461393117904663},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.37058591842651367},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3378426432609558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33201169967651367},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tsipn.2021.3081373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsipn.2021.3081373","pdf_url":null,"source":{"id":"https://openalex.org/S4306422866","display_name":"IEEE Transactions on Signal and Information Processing over Networks","issn_l":"2373-776X","issn":["2373-776X","2373-7778"],"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 Transactions on Signal and Information Processing over Networks","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2007.08301","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.08301","pdf_url":"https://arxiv.org/pdf/2007.08301","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3042699315","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2007.08301","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2007.08301","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2007.08301","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2007.08301","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.08301","pdf_url":"https://arxiv.org/pdf/2007.08301","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G410428456","display_name":null,"funder_award_id":"61872003","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W1606480398","https://openalex.org/W1663899164","https://openalex.org/W1912129610","https://openalex.org/W2104705565","https://openalex.org/W2107091491","https://openalex.org/W2107465879","https://openalex.org/W2124664712","https://openalex.org/W2131092434","https://openalex.org/W2134527668","https://openalex.org/W2153936403","https://openalex.org/W2157989186","https://openalex.org/W2164789387","https://openalex.org/W2170598445","https://openalex.org/W2484412993","https://openalex.org/W2519702959","https://openalex.org/W2593827718","https://openalex.org/W2621048556","https://openalex.org/W2727505277","https://openalex.org/W2781513756","https://openalex.org/W2782211364","https://openalex.org/W2901329636","https://openalex.org/W2905058180","https://openalex.org/W2913337807","https://openalex.org/W2916945904","https://openalex.org/W2969487841","https://openalex.org/W2979132306","https://openalex.org/W2981228172","https://openalex.org/W2983656740","https://openalex.org/W2998457557","https://openalex.org/W3015457841","https://openalex.org/W3095411042","https://openalex.org/W3104140780","https://openalex.org/W3107562927","https://openalex.org/W6600894407","https://openalex.org/W6676242101"],"related_works":["https://openalex.org/W3162560365","https://openalex.org/W2330877892","https://openalex.org/W2953197802","https://openalex.org/W2798363110","https://openalex.org/W3014801657","https://openalex.org/W1966917092","https://openalex.org/W1975529991","https://openalex.org/W3163923129","https://openalex.org/W2903924646","https://openalex.org/W2905058180","https://openalex.org/W2362361770","https://openalex.org/W2261215041","https://openalex.org/W2382811785","https://openalex.org/W2974187932","https://openalex.org/W3206685425","https://openalex.org/W3089337021","https://openalex.org/W2377468843","https://openalex.org/W2003937634","https://openalex.org/W2989626030","https://openalex.org/W2069043288"],"abstract_inverted_index":{"Traditional":[0],"adaptive":[1,45,74,122,180],"steganography":[2,46,181],"is":[3,15,31,47,188],"a":[4],"technique":[5],"used":[6],"for":[7],"covert":[8],"communication":[9],"with":[10,41,82,153],"high":[11],"security,":[12],"but":[13],"it":[14],"invalid":[16],"in":[17,92],"the":[18,51,58,87,102,106,118,134,141,176,184],"case":[19],"of":[20,37,89,110,120,143,178],"stego":[21,60,90,93],"images":[22],"are":[23],"sent":[24],"to":[25,49,53,71,85,105,116,131],"legal":[26],"receivers":[27],"over":[28],"networks":[29],"which":[30],"lossy,":[32],"such":[33,42],"as":[34],"JPEG":[35],"compression":[36],"channels.":[38],"To":[39,95],"deal":[40],"problem,":[43],"robust":[44,73,121,149,159,179],"proposed":[48],"enable":[50],"receiver":[52],"extract":[54],"secret":[55],"messages":[56],"from":[57],"damaged":[59],"images.":[61,94],"Previous":[62],"works":[63],"utilize":[64],"reverse":[65],"engineering":[66],"and":[67,98,162,174],"compression-resistant":[68],"domain":[69,104],"constructing":[70],"implement":[72],"steganography.":[75,123],"In":[76,124],"this":[77],"paper,":[78],"we":[79,100,126],"adopt":[80],"modification":[81],"re-compression":[83],"scheme":[84,169],"improve":[86,117,175],"robustness":[88,173],"sequences":[91],"balance":[96],"security":[97,119,177],"robustness,":[99],"move":[101],"embedding":[103],"low":[107],"frequency":[108],"region":[109],"DCT":[111],"(Discrete":[112],"Cosine":[113],"Transform)":[114],"coefficients":[115],"addition,":[125],"add":[127],"additional":[128],"check":[129],"codes":[130],"further":[132],"reduce":[133],"average":[135],"extraction":[136],"error":[137],"rate":[138],"based":[139,148,158],"on":[140],"framework":[142],"E-DMAS":[144],"(Enhancing":[145],"Dither":[146],"Modulation":[147,157],"Adaptive":[150,160],"Steganography).":[151],"Compared":[152],"GMAS":[154],"(Generalized":[155],"dither":[156],"Steganography)":[161],"E-DMAS,":[163],"experiment":[164],"results":[165],"show":[166],"that":[167],"our":[168],"can":[170],"achieve":[171],"strong":[172],"greatly":[182],"when":[183],"channel":[185],"quality":[186],"factor":[187],"known.":[189]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
