{"id":"https://openalex.org/W4401508265","doi":"https://doi.org/10.1109/infocom52122.2024.10621377","title":"A Generic Blockchain-based Steganography Framework with High Capacity via Reversible GAN","display_name":"A Generic Blockchain-based Steganography Framework with High Capacity via Reversible GAN","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401508265","doi":"https://doi.org/10.1109/infocom52122.2024.10621377"},"language":"en","primary_location":{"id":"doi:10.1109/infocom52122.2024.10621377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","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/A5011957762","display_name":"Zhuo Chen","orcid":"https://orcid.org/0000-0003-3704-6718"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":["Beijing Institute of Technology,School of Cyberspace Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Cyberspace Science and Technology,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634361","display_name":"Liehuang Zhu","orcid":"https://orcid.org/0000-0003-3277-3887"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liehuang Zhu","raw_affiliation_strings":["Beijing Institute of Technology,School of Cyberspace Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Cyberspace Science and Technology,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001339397","display_name":"Peng Jiang","orcid":"https://orcid.org/0000-0002-9266-0780"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Jiang","raw_affiliation_strings":["Beijing Institute of Technology,School of Cyberspace Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Cyberspace Science and Technology,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016904590","display_name":"Jialing He","orcid":"https://orcid.org/0000-0002-8643-0647"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialing He","raw_affiliation_strings":["Chongqing University,College of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082748711","display_name":"Zijian Zhang","orcid":"https://orcid.org/0000-0002-6313-4407"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Zhang","raw_affiliation_strings":["Beijing Institute of Technology,School of Cyberspace Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Cyberspace Science and Technology,China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011957762"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":2.6242,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91084127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/blockchain","display_name":"Blockchain","score":0.973031759262085},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.7649924755096436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446953415870667},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3679065704345703},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2827319800853729},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.1724245250225067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13124233484268188}],"concepts":[{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.973031759262085},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7649924755096436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446953415870667},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3679065704345703},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2827319800853729},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.1724245250225067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13124233484268188}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom52122.2024.10621377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","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":40,"referenced_works":["https://openalex.org/W2765811365","https://openalex.org/W2888372991","https://openalex.org/W2918879010","https://openalex.org/W2970967309","https://openalex.org/W2977738980","https://openalex.org/W2999783542","https://openalex.org/W3008121187","https://openalex.org/W3014197012","https://openalex.org/W3047075516","https://openalex.org/W3085519426","https://openalex.org/W3092319410","https://openalex.org/W3103419596","https://openalex.org/W3106750322","https://openalex.org/W3129832193","https://openalex.org/W3133489250","https://openalex.org/W3153659550","https://openalex.org/W3162945253","https://openalex.org/W3165765140","https://openalex.org/W3185226446","https://openalex.org/W4214570431","https://openalex.org/W4220901102","https://openalex.org/W4282938774","https://openalex.org/W4283211779","https://openalex.org/W4283214377","https://openalex.org/W4283215026","https://openalex.org/W4283218931","https://openalex.org/W4288458148","https://openalex.org/W4289656845","https://openalex.org/W4294811933","https://openalex.org/W4300716838","https://openalex.org/W4309184858","https://openalex.org/W4312906123","https://openalex.org/W4313577329","https://openalex.org/W4319831446","https://openalex.org/W4321484124","https://openalex.org/W4362663779","https://openalex.org/W4366492959","https://openalex.org/W4379209491","https://openalex.org/W4382239995","https://openalex.org/W6793961381"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4210406818","https://openalex.org/W4306779889","https://openalex.org/W4386732777","https://openalex.org/W3211706803","https://openalex.org/W4382775358","https://openalex.org/W4246942721","https://openalex.org/W3209862047","https://openalex.org/W4304136894"],"abstract_inverted_index":{"Blockchain-based":[0],"steganography":[1],"enables":[2],"data":[3,9,55,89,116,177],"hiding":[4],"via":[5],"encoding":[6],"the":[7,21,48,52,60,71,82,91,95,101,144,148,152,184],"covert":[8,54,88,124,176],"into":[10,90],"a":[11,27,39,77,114,136,179],"specific":[12,22],"blockchain":[13],"transaction":[14,145,180],"field.":[15,154],"However,":[16],"previous":[17],"works":[18,189],"focus":[19],"on":[20,29,64],"field-embedding":[23],"methods":[24],"while":[25],"lacking":[26],"consideration":[28],"required":[30,49,83,153],"field-generation":[31],"embedding.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,66,134],"propose":[37],"GBSF,":[38,65],"generic":[40],"framework":[41],"for":[42,130],"blockchain-based":[43],"steganography.":[44],"The":[45,155],"sender":[46],"generates":[47],"fields,":[50],"where":[51],"additional":[53,87],"is":[56],"embedded":[57],"to":[58,80,119,163,192,196],"enhance":[59,183],"channel":[61,185],"capacity.":[62],"Based":[63],"design":[67,135],"R-GAN":[68,105,159],"that":[69,158],"utilizes":[70],"generative":[72],"adversarial":[73],"network":[74],"(GAN)":[75],"with":[76],"reversible":[78,96],"generator":[79],"generate":[81],"fields":[84],"and":[85,106,133,160,170,182,194],"encode":[86],"input":[92],"noise":[93],"of":[94,104,147,168,174,187],"generator.":[97],"We":[98,140],"then":[99],"explore":[100],"performance":[102],"flaw":[103],"introduce":[107],"CCR-GAN":[108,112,161],"as":[109,151],"an":[110],"improvement.":[111],"employs":[113],"counter-intuitive":[115],"preprocessing":[117],"mechanism":[118],"reduce":[120],"decoding":[121],"errors":[122],"in":[123],"data.":[125],"It":[126],"incurs":[127],"gradient":[128],"explosion":[129],"model":[131],"convergence":[132],"custom":[137],"activation":[138],"function.":[139],"conduct":[141],"experiments":[142],"using":[143],"amount":[146],"Bitcoin":[149],"mainnet":[150],"results":[156],"demonstrate":[157],"allow":[162],"embed":[164],"11-bit":[165],"(embedding":[166,172],"rate":[167,173],"17.2%)":[169],"24-bit":[171],"37.5%)":[175],"within":[178],"amount,":[181],"capacity":[186],"state-of-the-art":[188],"by":[190],"4.30%":[191],"91.67%":[193],"9.38%":[195],"200.00%,":[197],"respectively.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":10}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}