{"id":"https://openalex.org/W4362496633","doi":"https://doi.org/10.1109/ictas56421.2023.10082736","title":"Toward Hidden Data Detection via Local Features Optimization in Spatial Domain Images","display_name":"Toward Hidden Data Detection via Local Features Optimization in Spatial Domain Images","publication_year":2023,"publication_date":"2023-03-01","ids":{"openalex":"https://openalex.org/W4362496633","doi":"https://doi.org/10.1109/ictas56421.2023.10082736"},"language":"en","primary_location":{"id":"doi:10.1109/ictas56421.2023.10082736","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ictas56421.2023.10082736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Conference on Information Communications Technology and Society (ICTAS)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Ntivuguruzwa Jean de La Croix","orcid":null},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]},{"id":"https://openalex.org/I4210087849","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46","country_code":"RW","type":"education","lineage":["https://openalex.org/I4210087849"]}],"countries":["ID","RW"],"is_corresponding":false,"raw_author_name":"Ntivuguruzwa Jean de La Croix","raw_affiliation_strings":["Indonesia African Centre of Excellence in Internet of Things College of Science and Technology University of Rwanda,Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya,Kigali,Rwanda","Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya, Indonesia African Centre of Excellence in Internet of Things College of Science and Technology University of Rwanda, Kigali, Rwanda"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indonesia African Centre of Excellence in Internet of Things College of Science and Technology University of Rwanda,Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya,Kigali,Rwanda","institution_ids":["https://openalex.org/I166843116","https://openalex.org/I4210087849"]},{"raw_affiliation_string":"Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya, Indonesia African Centre of Excellence in Internet of Things College of Science and Technology University of Rwanda, Kigali, Rwanda","institution_ids":["https://openalex.org/I166843116","https://openalex.org/I4210087849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075903779","display_name":"Tohari Ahmad","orcid":"https://orcid.org/0000-0002-3390-0756"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tohari Ahmad","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.978,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93959448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9995999932289124,"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":0.9929999709129333,"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":0.9305746555328369},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8448947668075562},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.7821270227432251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7153210639953613},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7036228179931641},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.6564498543739319},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5843737721443176},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5537543892860413},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.538444995880127},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5194003582000732},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4528459310531616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3901311159133911},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3755751848220825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21572646498680115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07193505764007568}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9305746555328369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8448947668075562},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7821270227432251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7153210639953613},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7036228179931641},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.6564498543739319},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5843737721443176},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5537543892860413},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.538444995880127},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5194003582000732},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4528459310531616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3901311159133911},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3755751848220825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21572646498680115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07193505764007568},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictas56421.2023.10082736","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ictas56421.2023.10082736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Conference on Information Communications Technology and Society (ICTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W2170598445","https://openalex.org/W2322622188","https://openalex.org/W2621048556","https://openalex.org/W2953875340","https://openalex.org/W2969585684","https://openalex.org/W3025149063","https://openalex.org/W3098779409","https://openalex.org/W3124809916","https://openalex.org/W3155052406","https://openalex.org/W3216496613","https://openalex.org/W4214706821","https://openalex.org/W4283644806","https://openalex.org/W4294363064","https://openalex.org/W4306933764","https://openalex.org/W4313427965"],"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/W2792878404","https://openalex.org/W2068740952","https://openalex.org/W1583147569","https://openalex.org/W2182496537","https://openalex.org/W3154843532"],"abstract_inverted_index":{"Technology":[0],"advancements":[1],"made":[2],"machine":[3,14],"learning":[4,15],"algorithms":[5,98],"crucial":[6],"to":[7,17,58,136],"solving":[8],"complex":[9],"problems.":[10],"Deep":[11],"learning,":[12],"a":[13,53,132],"paradigm":[16],"design":[18],"convolutional":[19],"neural":[20],"networks":[21],"(CNNs),":[22],"achieves":[23],"promising":[24],"performance":[25,42,81],"in":[26,70,121,131],"detecting":[27,43],"confidential":[28],"data,":[29],"known":[30],"as":[31],"steganalysis.":[32],"However,":[33],"the":[34,60,67,71,76,85,114,117],"existing":[35],"steganalysis":[36],"CNNs":[37],"have":[38],"not":[39],"achieved":[40],"optimal":[41],"accuracy":[44,64,122,128],"and":[45,105,123],"network":[46,124],"stability.":[47,125],"In":[48],"this":[49],"research,":[50],"we":[51],"propose":[52],"new":[54],"approach":[55],"within":[56],"CNN":[57],"improve":[59],"secret":[61],"data":[62],"detection":[63,127],"by":[65],"optimizing":[66],"local":[68],"features":[69],"feature":[72],"extraction":[73],"stage":[74],"of":[75,103,116],"spatial":[77],"domain":[78],"images.":[79],"The":[80,110,126],"is":[82,129],"evaluated":[83],"using":[84],"Break":[86],"Our":[87],"Steganographic":[88],"System":[89],"Base":[90],"(BOSSBase)":[91],"dataset":[92],"with":[93],"two":[94],"standard":[95],"adaptive":[96],"steganography":[97],"employing":[99],"low":[100],"payload":[101],"capacities":[102],"0.2":[104],"0.4":[106],"bits":[107],"per":[108],"pixel.":[109],"experimental":[111],"results":[112,115],"outperform":[113],"previously":[118],"published":[119],"works":[120],"improved":[130],"range":[133],"between":[134],"2.1%":[135],"3.6%.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":17}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}