{"id":"https://openalex.org/W7117360028","doi":"https://doi.org/10.1186/s40537-025-01341-0","title":"A secure framework for optimized data transmission using steganographic techniques","display_name":"A secure framework for optimized data transmission using steganographic techniques","publication_year":2025,"publication_date":"2025-12-27","ids":{"openalex":"https://openalex.org/W7117360028","doi":"https://doi.org/10.1186/s40537-025-01341-0"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01341-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01341-0","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s40537-025-01341-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085343805","display_name":"Priya Batta","orcid":"https://orcid.org/0000-0002-1323-0193"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Priya Batta","raw_affiliation_strings":["Amity School of Engineering and Technology, Amity University Punjab, Mohali, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amity School of Engineering and Technology, Amity University Punjab, Mohali, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101442860","display_name":"Abhishek Kumar","orcid":"https://orcid.org/0000-0002-8505-2007"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Kumar","raw_affiliation_strings":["Department of Computer Science, Chandigarh University, Mohali, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chandigarh University, Mohali, India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014450529","display_name":"Pramod Singh Rathore","orcid":"https://orcid.org/0000-0002-4917-1500"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pramod Singh Rathore","raw_affiliation_strings":["Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India","institution_ids":["https://openalex.org/I73779912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085343805"],"corresponding_institution_ids":[],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60947275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.6003000140190125,"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":0.6003000140190125,"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/T13324","display_name":"Scientific and Engineering Research Topics","score":0.06289999932050705,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13038","display_name":"Internet of Things and AI","score":0.05860000103712082,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/steganography","display_name":"Steganography","score":0.6966999769210815},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6586999893188477},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.623199999332428},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5322999954223633},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5134000182151794},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.4458000063896179},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.43070000410079956},{"id":"https://openalex.org/keywords/random-noise","display_name":"Random noise","score":0.42750000953674316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559999823570251},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.6966999769210815},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6586999893188477},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.623199999332428},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.579800009727478},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5322999954223633},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.4458000063896179},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.43070000410079956},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.42080000042915344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40450000762939453},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3677000105381012},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.35519999265670776},{"id":"https://openalex.org/C527648132","wikidata":"https://www.wikidata.org/wiki/Q189900","display_name":"Information security","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.32739999890327454},{"id":"https://openalex.org/C2779814227","wikidata":"https://www.wikidata.org/wiki/Q7444882","display_name":"Secure transmission","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.32089999318122864},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.3197000026702881},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01341-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01341-0","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ccce063a38c34dfdbd643d878446f5d6","is_oa":true,"landing_page_url":"https://doaj.org/article/ccce063a38c34dfdbd643d878446f5d6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 13, Iss 1, Pp 1-31 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01341-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01341-0","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6559262275695801,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2146727736","https://openalex.org/W2517369211","https://openalex.org/W2790867243","https://openalex.org/W2805930283","https://openalex.org/W2907358912","https://openalex.org/W2910225346","https://openalex.org/W2974262067","https://openalex.org/W2991954941","https://openalex.org/W3004627947","https://openalex.org/W3039137470","https://openalex.org/W3123960024","https://openalex.org/W3127977826","https://openalex.org/W3137988653","https://openalex.org/W3154529651","https://openalex.org/W3157228163","https://openalex.org/W3160971141","https://openalex.org/W3181622488","https://openalex.org/W4292292988","https://openalex.org/W4292821070","https://openalex.org/W4294733424","https://openalex.org/W4310649909","https://openalex.org/W4312712858","https://openalex.org/W4315778939","https://openalex.org/W4317737920","https://openalex.org/W4323031553","https://openalex.org/W4323041917","https://openalex.org/W4365146843","https://openalex.org/W4376865343","https://openalex.org/W4377969599","https://openalex.org/W4386427088","https://openalex.org/W4399074808","https://openalex.org/W4402130138","https://openalex.org/W4402704610","https://openalex.org/W4405516573"],"related_works":[],"abstract_inverted_index":{"The":[0,41,59,91,110,133],"safety":[1],"of":[2,14,31,38,75,86,98,101,138,155],"sensitive":[3],"information":[4,39],"on":[5],"the":[6,9,33,73,82,89,130,136,139,145,153,161,168],"way":[7],"to":[8,80,129],"destination":[10],"becomes":[11],"an":[12,28,55,68],"area":[13],"increasing":[15],"concern,":[16],"especially":[17],"in":[18,46,88,152,160,167],"areas":[19],"such":[20],"as":[21,67,165,170,172],"healthcare":[22],"and":[23,35,96,106,121,123,135,158,178,184],"financial":[24],"sectors.":[25],"There":[26],"is":[27,44,49,113],"emergency":[29],"necessity":[30],"ensuring":[32],"optimized":[34],"safe":[36],"infrastructure":[37],"interchange.":[40],"issue":[42],"that":[43,71],"discussed":[45],"this":[47],"research":[48,60],"data":[50,99,119],"transmission":[51],"security":[52],"by":[53,144],"applying":[54],"effective":[56],"steganographic":[57],"option.":[58],"shows":[61],"FIEO":[62,78],"Optimal":[63],"Location":[64],"Enabled":[65],"Stegochain":[66],"innovative":[69],"framework":[70],"assumes":[72],"combination":[74],"steganography":[76],"with":[77],"algorithm":[79],"find":[81],"safest":[83],"locations":[84],"places":[85],"embeddings":[87],"image.":[90],"method":[92,141],"guarantees":[93],"strong":[94],"embedding":[95],"extraction":[97],"because":[100],"Discrete":[102],"Wavelet":[103],"Transform":[104],"(DWT)":[105],"its":[107],"reverse":[108],"(IDWT).":[109],"proposed":[111,140],"model":[112],"more":[114],"secure,":[115],"has":[116],"a":[117],"reduced":[118],"distortion":[120],"correlation":[122,173],"Peak":[124],"Signal-to-Noise":[125],"Ratio":[126],"(PSNR)":[127],"compared":[128],"current":[131],"methods.":[132],"robustness":[134],"effectiveness":[137],"are":[142,176],"validated":[143],"PSNR":[146],"values":[147],"which":[148,175],"have":[149],"been":[150],"64.297":[151],"case":[154],"random":[156,182],"noise":[157,163,183,186],"61.288":[159],"salt-and-pepper":[162,185],"condition":[164],"analysed":[166],"experiment":[169],"well":[171],"coefficients":[174],"0.81":[177],"0.79":[179],"respectively":[180],"under":[181],"conditions.":[187]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-12-27T00:00:00"}
