{"id":"https://openalex.org/W4282843729","doi":"https://doi.org/10.1080/09540091.2022.2078792","title":"Automation of reversible steganographic coding with nonlinear discrete optimisation","display_name":"Automation of reversible steganographic coding with nonlinear discrete optimisation","publication_year":2022,"publication_date":"2022-06-14","ids":{"openalex":"https://openalex.org/W4282843729","doi":"https://doi.org/10.1080/09540091.2022.2078792"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2022.2078792","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2022.2078792","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2078792?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2078792?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014271344","display_name":"Ching\u2010Chun Chang","orcid":"https://orcid.org/0000-0001-7723-4591"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ching-Chun Chang","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014271344"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":0.4026,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58232543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"34","issue":"1","first_page":"1719","last_page":"1735"},"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":0.9984999895095825,"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":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.7747546434402466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674683332443237},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.48137858510017395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45128968358039856},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4437955617904663},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4126427173614502},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3494201898574829},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3240737020969391},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.14993628859519958}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7747546434402466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674683332443237},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.48137858510017395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45128968358039856},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4437955617904663},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4126427173614502},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3494201898574829},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3240737020969391},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.14993628859519958},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/09540091.2022.2078792","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2022.2078792","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2078792?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:166725","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:c0bc6f1c55a8413eb8ed479fab421b6c","is_oa":true,"landing_page_url":"https://doaj.org/article/c0bc6f1c55a8413eb8ed479fab421b6c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 34, Iss 1, Pp 1719-1735 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2022.2078792","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2022.2078792","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2078792?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4282843729.pdf","grobid_xml":"https://content.openalex.org/works/W4282843729.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W1511938396","https://openalex.org/W1945616565","https://openalex.org/W1974641035","https://openalex.org/W1995875735","https://openalex.org/W2012684236","https://openalex.org/W2035677848","https://openalex.org/W2045456727","https://openalex.org/W2046448991","https://openalex.org/W2096050104","https://openalex.org/W2097223045","https://openalex.org/W2099544623","https://openalex.org/W2106950225","https://openalex.org/W2116467012","https://openalex.org/W2118085659","https://openalex.org/W2120879609","https://openalex.org/W2121036560","https://openalex.org/W2132119275","https://openalex.org/W2137288380","https://openalex.org/W2138691165","https://openalex.org/W2144088652","https://openalex.org/W2151092698","https://openalex.org/W2167436768","https://openalex.org/W2169552486","https://openalex.org/W2528491735","https://openalex.org/W2560016511","https://openalex.org/W2584919286","https://openalex.org/W2901437339","https://openalex.org/W2908542906","https://openalex.org/W2919115771","https://openalex.org/W2964043980","https://openalex.org/W2964101377","https://openalex.org/W2972522787","https://openalex.org/W3000775737","https://openalex.org/W3089304304","https://openalex.org/W3094904360","https://openalex.org/W3111614445","https://openalex.org/W3130446996","https://openalex.org/W3144814114","https://openalex.org/W3182074013","https://openalex.org/W4221142092","https://openalex.org/W4232836212","https://openalex.org/W4247934040"],"related_works":["https://openalex.org/W2969135852","https://openalex.org/W2188948172","https://openalex.org/W38533693","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W2892069487","https://openalex.org/W2741842698","https://openalex.org/W4252555497","https://openalex.org/W1760333999","https://openalex.org/W2265739152"],"abstract_inverted_index":{"Authentication":[0],"mechanisms":[1],"are":[2,199],"at":[3],"the":[4,8,23,36,39,44,84,210,213],"forefront":[5],"of":[6,13,25,38,46,60,86,92,155,170,212],"defending":[7],"world":[9],"from":[10],"various":[11],"types":[12],"cybercrime.":[14],"Steganography":[15],"can":[16],"serve":[17],"as":[18,70,181],"an":[19],"authentication":[20],"solution":[21],"through":[22],"use":[24],"a":[26,31,124,182,188,193,220],"digital":[27],"signature":[28],"embedded":[29],"in":[30,66],"carrier":[32],"object":[33,40],"to":[34,54,83,139,164,201],"ensure":[35],"integrity":[37],"and":[41,77,159,192],"simultaneously":[42],"lighten":[43],"burden":[45],"metadata":[47],"management.":[48],"Nevertheless,":[49],"despite":[50],"being":[51],"generally":[52],"imperceptible":[53],"human":[55],"sensory":[56],"systems,":[57],"any":[58],"degree":[59],"steganographic":[61,113,179],"distortion":[62,195],"might":[63],"be":[64],"inadmissible":[65],"fidelity-sensitive":[67],"situations":[68],"such":[69,151],"forensic":[71],"science,":[72],"legal":[73],"proceedings,":[74],"medical":[75],"diagnosis":[76],"military":[78],"reconnaissance.":[79],"This":[80],"has":[81],"led":[82],"development":[85],"reversible":[87,93,112,178],"steganography.":[88],"A":[89],"fundamental":[90],"element":[91,110],"steganography":[94],"is":[95,111,117,148],"predictive":[96],"analytics,":[97],"for":[98],"which":[99,122],"powerful":[100],"neural":[101,144],"network":[102],"models":[103],"have":[104,136],"been":[105,137],"effectively":[106],"deployed.":[107],"Another":[108],"core":[109],"coding.":[114],"Contemporary":[115],"coding":[116,142,167,180],"based":[118],"primarily":[119],"on":[120,157],"heuristics,":[121],"offers":[123],"shortcut":[125],"towards":[126],"sufficient,":[127],"but":[128],"not":[129],"necessarily":[130],"optimal,":[131],"capacity\u2013distortion":[132],"performance.":[133],"While":[134],"attempts":[135],"made":[138],"realise":[140],"automatic":[141],"with":[143,187],"networks,":[145],"perfect":[146],"reversibility":[147],"unattainable":[149],"via":[150],"learning":[152],"machinery.":[153],"Instead":[154],"relying":[156],"heuristics":[158],"machine":[160],"learning,":[161],"we":[162,176],"aim":[163],"derive":[165],"optimal":[166],"by":[168],"means":[169],"mathematical":[171],"optimisation.":[172],"In":[173],"this":[174],"study,":[175],"formulate":[177],"nonlinear":[183],"discrete":[184],"optimisation":[185,215],"problem":[186],"logarithmic":[189],"capacity":[190],"constraint":[191],"quadratic":[194],"objective.":[196],"Linearisation":[197],"techniques":[198],"developed":[200],"enable":[202],"iterative":[203],"mixed-integer":[204],"linear":[205],"programming.":[206],"Experimental":[207],"results":[208],"validate":[209],"near-optimality":[211],"proposed":[214],"algorithm":[216],"when":[217],"benchmarked":[218],"against":[219],"brute-force":[221],"method.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
