{"id":"https://openalex.org/W4363673417","doi":"https://doi.org/10.1080/14488388.2023.2200051","title":"A machine learning approach for digital watermarking","display_name":"A machine learning approach for digital watermarking","publication_year":2023,"publication_date":"2023-04-10","ids":{"openalex":"https://openalex.org/W4363673417","doi":"https://doi.org/10.1080/14488388.2023.2200051"},"language":"en","primary_location":{"id":"doi:10.1080/14488388.2023.2200051","doi":"https://doi.org/10.1080/14488388.2023.2200051","is_oa":false,"landing_page_url":"https://doi.org/10.1080/14488388.2023.2200051","pdf_url":null,"source":{"id":"https://openalex.org/S2764894318","display_name":"Australian Journal of Multi-Disciplinary Engineering","issn_l":"1448-8388","issn":["1448-8388","2204-2180"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Australian Journal of Multi-Disciplinary Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5038369385","display_name":"Mohammad Ali Nematollahi","orcid":"https://orcid.org/0000-0002-8927-5929","observed_orcids":["https://orcid.org/0000-0002-8927-5929"]},"institutions":[{"id":"https://openalex.org/I130343225","display_name":"Universiti Putra Malaysia","ror":"https://ror.org/02e91jd64","country_code":"MY","type":"education","lineage":["https://openalex.org/I130343225"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mohammad Ali Nematollahi","raw_affiliation_strings":["Department of Computer & Communication Systems Engineering, Faculty of Engineering, University Putra Malaysia, selangor, Selangor Darul Ehsan, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-8927-5929","affiliations":[{"raw_affiliation_string":"Department of Computer & Communication Systems Engineering, Faculty of Engineering, University Putra Malaysia, selangor, Selangor Darul Ehsan, Malaysia","institution_ids":["https://openalex.org/I130343225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038369385"],"corresponding_institution_ids":["https://openalex.org/I130343225"],"apc_list":null,"apc_paid":null,"fwci":0.2947,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.44805013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"19","issue":"1","first_page":"53","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":9.999999747378752e-05,"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/T13674","display_name":"Computer Science and Engineering","score":0.0,"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/digital-watermarking","display_name":"digital watermarking","score":0.9990000128746033},{"id":"https://openalex.org/keywords/deep-learning-models","display_name":"deep learning models","score":0.652999997138977},{"id":"https://openalex.org/keywords/information-hiding","display_name":"information hiding","score":0.6039999723434448},{"id":"https://openalex.org/keywords/audio-watermarking","display_name":"audio watermarking","score":0.7680000066757202},{"id":"https://openalex.org/keywords/digital-image-watermarking","display_name":"image watermarking","score":0.9409999847412109},{"id":"https://openalex.org/keywords/video-watermarking","display_name":"video watermarking","score":0.9909999966621399},{"id":"https://openalex.org/keywords/speech-watermarking","display_name":"speech watermarking","score":0.871999979019165},{"id":"https://openalex.org/keywords/amazon-sagemaker","display_name":"Amazon SageMaker","score":0.6299999952316284}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.9407228827476501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769361138343811},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.7160811424255371},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5532299876213074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5370243191719055},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44272708892822266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4357723295688629},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.42653900384902954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42304620146751404},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42296451330184937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28284764289855957},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1258116364479065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08461639285087585},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/14488388.2023.2200051","doi":"https://doi.org/10.1080/14488388.2023.2200051","is_oa":false,"landing_page_url":"https://doi.org/10.1080/14488388.2023.2200051","pdf_url":null,"source":{"id":"https://openalex.org/S2764894318","display_name":"Australian Journal of Multi-Disciplinary Engineering","issn_l":"1448-8388","issn":["1448-8388","2204-2180"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Australian Journal of Multi-Disciplinary Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1772683725","https://openalex.org/W2025013471","https://openalex.org/W2092707232","https://openalex.org/W2122702209","https://openalex.org/W2157512116","https://openalex.org/W2295188089","https://openalex.org/W2324670398","https://openalex.org/W2568082643","https://openalex.org/W2589847274","https://openalex.org/W2617033771","https://openalex.org/W2767101511","https://openalex.org/W3020531607","https://openalex.org/W3120099364","https://openalex.org/W3127686677","https://openalex.org/W3165543687","https://openalex.org/W3211443677","https://openalex.org/W4200083849","https://openalex.org/W4210490113","https://openalex.org/W4211207761","https://openalex.org/W4214604348","https://openalex.org/W4220844932","https://openalex.org/W4220896847","https://openalex.org/W4224218785","https://openalex.org/W4224436625","https://openalex.org/W4244801587","https://openalex.org/W4286218524","https://openalex.org/W4308146468","https://openalex.org/W4309852560","https://openalex.org/W4311032976","https://openalex.org/W4312296164","https://openalex.org/W4313184689","https://openalex.org/W4319159963"],"related_works":["https://openalex.org/W4410300257","https://openalex.org/W4311806958","https://openalex.org/W4415547793","https://openalex.org/W4384948994","https://openalex.org/W4389400817","https://openalex.org/W2559996291","https://openalex.org/W4388936865","https://openalex.org/W4413121612","https://openalex.org/W4406435276","https://openalex.org/W3216556018"],"abstract_inverted_index":{"Recently,":[0],"machine":[1],"learning":[2,172,175],"(ML)":[3],"has":[4],"been":[5,33],"applying":[6,253],"in":[7,42,86,204],"almost":[8,70],"all":[9,50,82,112],"scientific":[10],"fields":[11],"to":[12,53,57,88,126,139,169,192,229],"model":[13,193],"and":[14,45,116,158,173,207,220],"simulate":[15],"the":[16,22,25,28,40,43,62,65,83,98,113,128,132,141,154,179,223,231,245,254],"behaviour":[17],"of":[18,27,39,64,137,244],"complex":[19],"systems.":[20],"At":[21],"same":[23],"time,":[24],"number":[26],"proposed":[29,168,185,232,255],"watermarking":[30,44,84,91,142,181,202,261],"techniques":[31,85,203],"have":[32],"increasing":[34],"every":[35],"year.":[36],"Although":[37],"most":[38,66],"researchers":[41],"data":[46],"hiding":[47],"field":[48],"put":[49],"their":[51],"effort":[52],"compete":[54],"each":[55],"other":[56,78],"develop":[58],"more":[59,103],"efficient":[60,67],"algorithm,":[61],"selection":[63],"one":[68,90],"is":[69,101,118,124,149,212],"impossible":[71],"for":[72,144,153],"industries":[73],"or":[74],"software":[75,159],"developers.":[76],"In":[77,161],"words,":[79],"comparison":[80],"among":[81],"order":[87],"select":[89],"technique":[92,109],"would":[93,248],"be":[94],"cumbersome":[95],"task.":[96],"Moreover,":[97],"computer":[99],"security":[100,156],"becoming":[102],"advanced":[104],"which":[105,197],"a":[106,119,145,150,259],"single":[107],"watermark":[108,130],"cannot":[110],"fulfil":[111],"required":[114],"criteria":[115],"there":[117],"chance":[120],"that":[121,238],"an":[122,241],"anti-watermarking":[123],"developed":[125],"remove":[127],"embedded":[129],"from":[131,240],"host":[133],"data.":[134],"This":[135],"gap":[136],"knowledge":[138],"use":[140],"technology":[143],"highly":[146],"secure":[147],"application":[148],"real":[151],"nightmare":[152],"information":[155],"engineers":[157],"designers.":[160],"this":[162],"paper,":[163],"two":[164],"new":[165],"approaches":[166],"are":[167,190,198],"train":[170],"deep":[171],"shallow":[174],"models":[176],"based":[177,214],"on":[178,215],"state-of-the-arts":[180],"techniques.":[182],"For":[183],"these":[184],"approaches,":[186],"several":[187,216],"ML":[188,227,256],"algorithms":[189],"applied":[191],"various":[194,205],"watermarked":[195,199],"data,":[196],"by":[200,252],"different":[201],"spectrums":[206],"domains.":[208],"An":[209],"experimental":[210,235],"setup":[211],"constructed":[213],"speeches,":[217],"audios,":[218],"images":[219],"videos":[221],"beside":[222],"Amazon":[224],"Sagemaker":[225],"as":[226,258],"modelling":[228],"implement":[230],"approach.":[233],"The":[234],"results":[236],"show":[237],"apart":[239],"overall":[242],"effectiveness":[243],"model,":[246],"it":[247],"resolve":[249],"some":[250],"ambiguities":[251],"approach":[257],"general":[260],"workflow.":[262]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-04-11T00:00:00"}