{"id":"https://openalex.org/W4232546444","doi":"https://doi.org/10.1109/glocom.2014.7417631","title":"A PSNR-Controllable Data Hiding Algorithm Based on LSBs Substitution","display_name":"A PSNR-Controllable Data Hiding Algorithm Based on LSBs Substitution","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W4232546444","doi":"https://doi.org/10.1109/glocom.2014.7417631"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2014.7417631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2014.7417631","pdf_url":null,"source":{"id":"https://openalex.org/S4363607712","display_name":"2015 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Communications Conference (GLOBECOM)","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/A5113686018","display_name":"Huaibo Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaibo Sun","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101439625","display_name":"Hong Luo","orcid":"https://orcid.org/0009-0006-3463-3238"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Luo","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073713355","display_name":"Tin\u2010Yu Wu","orcid":"https://orcid.org/0000-0002-9804-2377"},"institutions":[{"id":"https://openalex.org/I75430998","display_name":"National Ilan University","ror":"https://ror.org/01npf0s58","country_code":"TW","type":"education","lineage":["https://openalex.org/I75430998"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tin-Yu Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan","institution_ids":["https://openalex.org/I75430998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051195514","display_name":"Mohammad S. Obaidat","orcid":"https://orcid.org/0000-0002-1569-9657"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad S. Obaidat","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, New York, USA","institution_ids":["https://openalex.org/I164389053"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113686018"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41236069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"92","issue":null,"first_page":"1","last_page":"7"},"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":0.994700014591217,"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":0.9879999756813049,"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/information-hiding","display_name":"Information hiding","score":0.8421205282211304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7507228851318359},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.5846572518348694},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5504839420318604},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.48137786984443665},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4454280138015747},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3900916278362274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23844608664512634}],"concepts":[{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.8421205282211304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507228851318359},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.5846572518348694},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5504839420318604},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.48137786984443665},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4454280138015747},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3900916278362274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23844608664512634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2014.7417631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2014.7417631","pdf_url":null,"source":{"id":"https://openalex.org/S4363607712","display_name":"2015 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W261175864","https://openalex.org/W1969145182","https://openalex.org/W2020366396","https://openalex.org/W2074838369","https://openalex.org/W2078049399","https://openalex.org/W2090289871","https://openalex.org/W2116323450","https://openalex.org/W2137288380","https://openalex.org/W2158518777","https://openalex.org/W2292468604","https://openalex.org/W6670226160","https://openalex.org/W6696368907"],"related_works":["https://openalex.org/W3203504906","https://openalex.org/W2497446005","https://openalex.org/W2368824897","https://openalex.org/W2171676767","https://openalex.org/W4312890355","https://openalex.org/W83713408","https://openalex.org/W1716757876","https://openalex.org/W4285356283","https://openalex.org/W4293373802","https://openalex.org/W4318577714"],"abstract_inverted_index":{"There":[0],"are":[1,53],"more":[2,4,46],"and":[3,23,101,130,145,190],"systems":[5],"using":[6],"mobile":[7],"devices":[8],"to":[9,96,179],"perform":[10],"sensing":[11],"tasks,":[12],"but":[13],"these":[14],"increase":[15],"the":[16,30,93,98,103,107,122,137,143,159],"risk":[17],"of":[18,20,29,111,124],"leakage":[19],"personal":[21],"privacy":[22],"data.":[24],"Data":[25,76],"hiding":[26,40,47,63,168,188],"is":[27],"one":[28],"important":[31],"ways":[32],"for":[33,86],"information":[34,105],"security.":[35],"Even":[36],"though":[37],"many":[38],"data":[39,87],"algorithms":[41,55,147],"have":[42],"worked":[43],"on":[44,72],"providing":[45],"capacity":[48],"or":[49],"higher":[50],"PSNR,":[51,187],"there":[52],"few":[54],"that":[56,117,155],"can":[57,120,157,173],"control":[58,121,131,158],"PSNR":[59,70,132,160],"effectively":[60],"while":[61,165],"ensuring":[62,166],"capacity.":[64,169],"In":[65,89,170],"this":[66,118],"paper,":[67],"with":[68,148],"controllable":[69],"based":[71],"LSBs":[73,110],"substitution-":[74],"PSNR-Controllable":[75],"Hiding":[77],"(PCDH),":[78],"we":[79,91,141],"first":[80],"propose":[81],"a":[82,162],"novel":[83],"encoding":[84,144],"plan":[85],"hiding.":[88],"PCDH,":[90],"use":[92],"remainder":[94,138],"algorithm":[95],"calculate":[97],"hidden":[99],"information,":[100],"hide":[102],"secret":[104],"in":[106,136,161],"last":[108],"x":[109],"every":[112],"pixel.":[113],"Theoretical":[114],"proof":[115],"shows":[116],"method":[119],"variation":[123],"stego":[125],"image":[126],"from":[127],"cover":[128],"image,":[129],"by":[133],"adjusting":[134],"parameters":[135],"calculation.":[139],"Then,":[140],"design":[142],"decoding":[146],"low":[149],"computation":[150,191],"complexity.":[151,192],"Experimental":[152],"results":[153],"show":[154],"PCDH":[156,182],"given":[163],"range":[164],"high":[167],"addition,":[171],"it":[172],"resist":[174],"well":[175],"some":[176],"steganalysis.":[177],"Compared":[178],"other":[180],"algorithms,":[181],"achieves":[183],"better":[184],"tradeoff":[185],"among":[186],"capacity,":[189]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
