{"id":"https://openalex.org/W2902620118","doi":"https://doi.org/10.23919/eusipco.2018.8553580","title":"Quantitative and Binary Steganalysis in JPEG: A Comparative Study","display_name":"Quantitative and Binary Steganalysis in JPEG: A Comparative Study","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902620118","doi":"https://doi.org/10.23919/eusipco.2018.8553580","mag":"2902620118"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553580","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-01884006","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113855191","display_name":"Ahmad Zakaria","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ahmad Zakaria","raw_affiliation_strings":["LIRMM, Univ Montpellier, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, Univ Montpellier, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050689933","display_name":"Marc Chaumont","orcid":"https://orcid.org/0000-0002-4095-4410"},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marc Chaumont","raw_affiliation_strings":["LIRMM, Univ Montpellier, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, Univ Montpellier, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004974411","display_name":"G\u00e9rard Subsol","orcid":"https://orcid.org/0000-0002-7461-4932"},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gerard Subsol","raw_affiliation_strings":["LIRMM, Univ Montpellier, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, Univ Montpellier, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113855191"],"corresponding_institution_ids":["https://openalex.org/I19894307","https://openalex.org/I4210101743"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7530754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1422","last_page":"1426"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9916999936103821,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.987500011920929,"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":0.9968281984329224},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.8186590671539307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6535087823867798},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6386688947677612},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.6323828101158142},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5765503644943237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5529706478118896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527874827384949},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5221208333969116},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.447888046503067},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3326541781425476},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32806384563446045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2844805121421814},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.19158101081848145},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08214825391769409}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9968281984329224},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.8186590671539307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535087823867798},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6386688947677612},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.6323828101158142},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5765503644943237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5529706478118896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527874827384949},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5221208333969116},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.447888046503067},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3326541781425476},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32806384563446045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2844805121421814},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.19158101081848145},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08214825391769409}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2018.8553580","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:lirmm-01884006v1","is_oa":true,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-01884006","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eusipco2018.org","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:lirmm-01884006v1","is_oa":true,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-01884006","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eusipco2018.org","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1658688950","https://openalex.org/W2006286269","https://openalex.org/W2045110448","https://openalex.org/W2055625960","https://openalex.org/W2104705565","https://openalex.org/W2124664712","https://openalex.org/W2134527668","https://openalex.org/W2169354802","https://openalex.org/W2170598445","https://openalex.org/W2545848843","https://openalex.org/W2736102651","https://openalex.org/W2736148246","https://openalex.org/W2889206230","https://openalex.org/W6661850309"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W1529294424","https://openalex.org/W2241212938","https://openalex.org/W2160587766","https://openalex.org/W2357125417","https://openalex.org/W4220747575","https://openalex.org/W2105458961","https://openalex.org/W2037059691"],"abstract_inverted_index":{"We":[0,23,54],"consider":[1],"the":[2,61,63,67,107,110,115],"problem":[3],"of":[4,109],"steganalysis,":[5],"in":[6,37],"which":[7],"Eve":[8,28],"(the":[9],"steganalyst)":[10],"aims":[11],"to":[12,89],"identify":[13],"a":[14,21,87,95,102],"steganogra-pher,":[15],"Alice":[16,35],"who":[17],"sends":[18],"images":[19,75],"through":[20],"network.":[22],"can":[24],"also":[25],"hypothesise":[26],"that":[27,106],"does":[29],"not":[30],"know":[31],"how":[32],"many":[33],"bits":[34],"embed":[36],"an":[38],"image.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,85],"investigate":[44],"two":[45,56],"different":[46],"steganalysis":[47,58],"scenarios:":[48],"Binary":[49,120],"Steganalysis":[50,121],"and":[51,66,101],"Quantitative":[52,126],"Steganalysis.":[53,127],"compare":[55,90],"classical":[57],"algorithms":[59],"from":[60,73,77],"state-of-the-art:":[62],"QS":[64,116],"algorithm":[65],"GLRT-Ensemble":[68],"Classifier,":[69],"with":[70,94],"features":[71],"extracted":[72],"JPEG":[74],"obtained":[76],"BOSSbase":[78],"1.01.":[79],"As":[80],"their":[81],"outputs":[82],"are":[83],"different,":[84],"propose":[86],"methodology":[88],"them.":[91],"Numerical":[92],"results":[93],"state-of-the-art":[96],"Content":[97],"Adaptive":[98],"Embedding":[99],"Scheme":[100],"Rich":[103],"Model":[104],"show":[105],"approach":[108,117],"GLRT-ensemble":[111],"is":[112],"better":[113],"than":[114],"when":[118,124],"doing":[119,125],"but":[122],"worse":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
