{"id":"https://openalex.org/W4390045024","doi":"https://doi.org/10.1109/icast57874.2023.10359315","title":"A Revised Spatial CNN Steganalysis Scheme Based on Yedroudj-Net","display_name":"A Revised Spatial CNN Steganalysis Scheme Based on Yedroudj-Net","publication_year":2023,"publication_date":"2023-11-09","ids":{"openalex":"https://openalex.org/W4390045024","doi":"https://doi.org/10.1109/icast57874.2023.10359315"},"language":"en","primary_location":{"id":"doi:10.1109/icast57874.2023.10359315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icast57874.2023.10359315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Awareness Science and Technology (iCAST)","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/A5032387977","display_name":"Hsien\u2010Wen Tseng","orcid":"https://orcid.org/0000-0001-7488-9672"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsien-Wen Tseng","raw_affiliation_strings":["Chaoyang University of Technology,Department of Information Management,Taichung,Taiwan","Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Chaoyang University of Technology,Department of Information Management,Taichung,Taiwan","institution_ids":["https://openalex.org/I126145234"]},{"raw_affiliation_string":"Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051322477","display_name":"Hui\u2010Shih Leng","orcid":"https://orcid.org/0000-0002-9965-0315"},"institutions":[{"id":"https://openalex.org/I70522481","display_name":"National Changhua University of Education","ror":"https://ror.org/005gkfa10","country_code":"TW","type":"education","lineage":["https://openalex.org/I70522481"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hui-Shih Leng","raw_affiliation_strings":["National Changhua University of Education,Department of Mathematics,Changhua,Taiwan","Department of Mathematics, National Changhua University of Education, Changhua, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Changhua University of Education,Department of Mathematics,Changhua,Taiwan","institution_ids":["https://openalex.org/I70522481"]},{"raw_affiliation_string":"Department of Mathematics, National Changhua University of Education, Changhua, Taiwan","institution_ids":["https://openalex.org/I70522481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032387977"],"corresponding_institution_ids":["https://openalex.org/I126145234"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.450727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"241"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9943000078201294,"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/steganalysis","display_name":"Steganalysis","score":0.9646865129470825},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7585127353668213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499884366989136},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.7302417755126953},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6713908314704895},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.665519654750824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6201326847076416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5804061889648438},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49947690963745117},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.48574668169021606},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4603438675403595},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42025962471961975},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4120536744594574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34308916330337524},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.334408164024353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15745806694030762},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06209501624107361}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9646865129470825},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7585127353668213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499884366989136},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7302417755126953},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6713908314704895},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.665519654750824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6201326847076416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5804061889648438},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49947690963745117},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.48574668169021606},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4603438675403595},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42025962471961975},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4120536744594574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34308916330337524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.334408164024353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15745806694030762},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06209501624107361},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icast57874.2023.10359315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icast57874.2023.10359315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W2009130368","https://openalex.org/W2046180645","https://openalex.org/W2106663508","https://openalex.org/W2170598445","https://openalex.org/W2322622188","https://openalex.org/W2416075718","https://openalex.org/W2542290803","https://openalex.org/W2565257220","https://openalex.org/W2610979719","https://openalex.org/W2621048556","https://openalex.org/W2735904389","https://openalex.org/W2751202750","https://openalex.org/W2946033444","https://openalex.org/W2962951125","https://openalex.org/W2963682422","https://openalex.org/W2963957509","https://openalex.org/W2972355823","https://openalex.org/W6638667902"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W2068740952","https://openalex.org/W1583147569","https://openalex.org/W2182496537","https://openalex.org/W2792878404","https://openalex.org/W1716757876"],"abstract_inverted_index":{"Steganography":[0],"hides":[1],"secret":[2],"data":[3,23],"into":[4],"a":[5,73,91],"cover":[6],"image":[7],"so":[8],"that":[9,62],"it":[10],"cannot":[11],"be":[12],"detected":[13],"by":[14],"unintended":[15],"recipients,":[16],"whereas":[17],"steganalysis":[18,37,45],"attempts":[19],"to":[20],"discover":[21],"hidden":[22],"in":[24,35,102],"suspected":[25],"images.":[26],"In":[27,86],"recent":[28],"years,":[29],"much":[30],"progress":[31],"has":[32,46],"been":[33,47],"made":[34],"developing":[36],"because":[38],"of":[39,44,64,98,118],"deep":[40],"learning.":[41],"The":[42,106,122],"performance":[43,84,123],"improved":[48],"using":[49],"the":[50,59,99,103,119],"Convolution":[51],"Neural":[52],"Network":[53],"(CNN).":[54],"Yedroudj":[55],"et":[56],"al.":[57],"proposed":[58,90,107],"Yedroudj-Net":[60,77],"CNN":[61,81],"composed":[63],"30":[65,100],"pre-processing":[66,104],"filters":[67,101],"block,":[68],"5":[69],"convolutional":[70],"blocks,":[71],"and":[72,82,128],"fully":[74],"connected":[75],"block.":[76,105],"is":[78,124],"an":[79],"efficient":[80],"achieves":[83,111],"improvement.":[85],"this":[87],"paper,":[88],"we":[89],"revision":[92],"method":[93,108],"which":[94],"selects":[95],"10":[96],"out":[97],"not":[109],"only":[110],"close":[112],"performance,":[113],"but":[114],"also":[115],"saves":[116],"half":[117],"training":[120],"time.":[121],"evaluated":[125],"against":[126],"WOW":[127],"S-UNIWARD":[129],"embedding":[130],"algorithms.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}