{"id":"https://openalex.org/W3088748086","doi":"https://doi.org/10.2352/issn.2470-1173.2020.4.mwsf-291","title":"Generative Text Steganography Based on LSTM Network and Attention Mechanism with Keywords","display_name":"Generative Text Steganography Based on LSTM Network and Attention Mechanism with Keywords","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3088748086","doi":"https://doi.org/10.2352/issn.2470-1173.2020.4.mwsf-291","mag":"3088748086"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.4.mwsf-291","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.4.mwsf-291","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5052988555","display_name":"Huixian Kang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huixian Kang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049733139","display_name":"Hanzhou Wu","orcid":"https://orcid.org/0000-0002-1599-7232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanzhou Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071724015","display_name":"Xinpeng Zhang","orcid":"https://orcid.org/0000-0001-5867-1315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinpeng Zhang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052988555"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4536,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.910788,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"32","issue":"4","first_page":"291","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","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":0.9925000071525574,"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":0.9836000204086304,"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/mechanism","display_name":"Mechanism (biology)","score":0.7359627485275269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7063002586364746},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5910952687263489},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.5884646773338318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5734596252441406},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4252600073814392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35536670684814453},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3506009578704834},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.07602152228355408},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.04267182946205139}],"concepts":[{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.7359627485275269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063002586364746},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5910952687263489},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.5884646773338318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734596252441406},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4252600073814392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35536670684814453},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3506009578704834},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.07602152228355408},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.04267182946205139},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.4.mwsf-291","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.4.mwsf-291","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2969135852","https://openalex.org/W2188948172","https://openalex.org/W38533693","https://openalex.org/W2153696906","https://openalex.org/W2892069487","https://openalex.org/W2741842698","https://openalex.org/W1760333999","https://openalex.org/W2804412098","https://openalex.org/W2265739152","https://openalex.org/W2094307307"],"abstract_inverted_index":{"The":[0,38],"widespread":[1],"use":[2],"of":[3,41,114,121],"text":[4,16,29,52,69,107],"over":[5],"online":[6],"social":[7],"networks":[8,44],"makes":[9],"it":[10],"quite":[11],"suitable":[12],"for":[13],"steganography.":[14],"Conventional":[15],"steganography":[17],"usually":[18],"transmits":[19],"the":[20,27,32,50,89,94,102,105,110,128],"secret":[21,33],"data":[22,34],"by":[23,109],"either":[24],"slightly":[25],"modifying":[26],"given":[28],"or":[30],"hiding":[31],"through":[35],"synonym":[36],"replacement.":[37],"rapid":[39],"development":[40],"deep":[42],"neural":[43],"(DNNs)":[45],"has":[46,61,126],"led":[47],"automatically":[48],"generating":[49],"steganographic":[51,70,95,106],"to":[53,64,88,92,101],"become":[54],"an":[55],"important":[56],"and":[57,118],"promising":[58],"topic.":[59],"This":[60],"motivated":[62],"us":[63],"propose":[65],"a":[66],"novel":[67],"generative":[68],"method":[71,112],"based":[72],"on":[73],"long":[74],"short-term":[75],"memory":[76],"(LSTM)":[77],"network":[78,91],"in":[79],"this":[80],"paper.":[81],"We":[82],"apply":[83],"attention":[84],"mechanism":[85],"with":[86],"keywords":[87],"LSTM":[90],"generate":[93],"text.":[96],"Experiments":[97],"show":[98],"that,":[99],"compared":[100],"related":[103],"work,":[104],"generated":[108],"proposed":[111],"is":[113],"higher":[115],"semantic":[116],"quality":[117],"more":[119],"capable":[120],"resisting":[122],"against":[123],"steganalysis,":[124],"which":[125],"shown":[127],"superiority.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}