{"id":"https://openalex.org/W4415778584","doi":"https://doi.org/10.3837/tiis.2025.10.004","title":"AI-Optimized Autoencoder Architecture for Secure and Efficient Brain MRI Image Encryption and Compression on EDGE Platforms","display_name":"AI-Optimized Autoencoder Architecture for Secure and Efficient Brain MRI Image Encryption and Compression on EDGE Platforms","publication_year":2025,"publication_date":"2025-10-31","ids":{"openalex":"https://openalex.org/W4415778584","doi":"https://doi.org/10.3837/tiis.2025.10.004"},"language":null,"primary_location":{"id":"doi:10.3837/tiis.2025.10.004","is_oa":true,"landing_page_url":"https://doi.org/10.3837/tiis.2025.10.004","pdf_url":"https://itiis.org/digital-library/manuscript/file/103424/TIIS Vol 19, No 10-4.pdf","source":{"id":"https://openalex.org/S204131793","display_name":"KSII Transactions on Internet and Information Systems","issn_l":"1976-7277","issn":["1976-7277","2288-1468"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323966148","host_organization_name":"Korea Society of Internet Information","host_organization_lineage":["https://openalex.org/P4323966148"],"host_organization_lineage_names":["Korea Society of Internet Information"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KSII Transactions on Internet and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://itiis.org/digital-library/manuscript/file/103424/TIIS Vol 19, No 10-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jins Sebastian","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jins Sebastian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"J. Deny","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Deny","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"S. N. Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. N. Kumar","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33876597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.4327999949455261,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.4327999949455261,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.09449999779462814,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.04619999974966049,"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/autoencoder","display_name":"Autoencoder","score":0.8263000249862671},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5629000067710876},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5605000257492065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5245000123977661},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5015000104904175},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.454800009727478},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.40059998631477356},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4002000093460083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9211999773979187},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8263000249862671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6385999917984009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5867999792098999},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5629000067710876},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5605000257492065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.40059998631477356},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.3237000107765198},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.298799991607666},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.28940001130104065},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.27959999442100525},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.2721000015735626}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3837/tiis.2025.10.004","is_oa":true,"landing_page_url":"https://doi.org/10.3837/tiis.2025.10.004","pdf_url":"https://itiis.org/digital-library/manuscript/file/103424/TIIS Vol 19, No 10-4.pdf","source":{"id":"https://openalex.org/S204131793","display_name":"KSII Transactions on Internet and Information Systems","issn_l":"1976-7277","issn":["1976-7277","2288-1468"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323966148","host_organization_name":"Korea Society of Internet Information","host_organization_lineage":["https://openalex.org/P4323966148"],"host_organization_lineage_names":["Korea Society of Internet Information"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KSII Transactions on Internet and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3837/tiis.2025.10.004","is_oa":true,"landing_page_url":"https://doi.org/10.3837/tiis.2025.10.004","pdf_url":"https://itiis.org/digital-library/manuscript/file/103424/TIIS Vol 19, No 10-4.pdf","source":{"id":"https://openalex.org/S204131793","display_name":"KSII Transactions on Internet and Information Systems","issn_l":"1976-7277","issn":["1976-7277","2288-1468"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323966148","host_organization_name":"Korea Society of Internet Information","host_organization_lineage":["https://openalex.org/P4323966148"],"host_organization_lineage_names":["Korea Society of Internet Information"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KSII Transactions on Internet and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415778584.pdf","grobid_xml":"https://content.openalex.org/works/W4415778584.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"advancements":[1],"in":[2,9,31],"imaging":[3],"techniques":[4],"have":[5,36],"improved":[6],"the":[7,67,100,105,174,194,198,211],"diagnostics":[8],"health":[10],"care":[11],"and":[12,28,74,98,115,131,146,207,218],"medicine.The":[13],"magnitude":[14],"of":[15,49,144,150,157,163,170,182,193],"MRI":[16,69,101],"volumetric":[17],"data":[18,57,72,110],"sets":[19],"remains":[20],"a":[21,44,141,147,153,159,166,179],"challenge":[22],"with":[23,59,137,152,178],"storage":[24],"space,":[25],"real-time":[26,88,208],"processing,":[27],"communication,":[29],"especially":[30],"edge":[32,80],"computing":[33],"environments":[34],"that":[35,54,173],"limited":[37],"resources.To":[38],"tackle":[39],"these":[40],"issues,":[41],"we":[42],"suggest":[43],"new":[45],"artificial":[46],"intelligence-based":[47],"optimisation":[48],"an":[50],"autoencoder":[51,96],"network":[52],"architecture":[53],"combines":[55],"spectral":[56,109],"augmentation":[58,111],"feature":[60,125],"extraction":[61],"using":[62],"discrete":[63],"wavelet":[64],"transform":[65],"on":[66,82,197],"brain":[68],"images":[70,102,177],"for":[71,79,187,214],"compression":[73,121,129,142,148],"encryption.The":[75],"system":[76,212],"is":[77,185],"optimised":[78],"deployment":[81,192],"NVIDIA":[83,199],"Jetson":[84,200],"TX2":[85,201],"platforms,":[86],"allowing":[87],"processing":[89],"at":[90],"low":[91],"power":[92],"consumption.The":[93],"proposed":[94,127],"convolutional":[95],"encodes":[97],"decodes":[99],"while":[103,117],"minimizing":[104],"reconstruction":[106,133],"loss.It":[107],"uses":[108],"to":[112],"improve":[113],"overfitting":[114],"generalisation,":[116],"DWT":[118],"further":[119],"improves":[120],"efficiency":[122,206],"through":[123],"multi-resolution":[124],"extraction.The":[126],"model's":[128],"performance":[130],"image":[132],"accuracy":[134],"are":[135],"evaluated":[136],"various":[138],"parameters,":[139],"achieving":[140],"ratio":[143,162],"33.25":[145],"factor":[149],"0.0625":[151],"mean":[154],"squared":[155],"error":[156],"0.000445,":[158],"peak":[160],"signal-to-noise":[161],"33.51":[164],"dB.Additionally,":[165],"structural":[167],"similarity":[168],"index":[169],"0.9956":[171],"confirms":[172],"model":[175,196],"reconstructs":[176],"high":[180],"preservation":[181],"detail,":[183],"which":[184],"necessary":[186],"capturing":[188],"critical":[189],"diagnostic":[190],"data.The":[191],"developed":[195],"GPU":[202],"platform":[203],"emphasizes":[204],"computational":[205],"execution,":[209],"making":[210],"suitable":[213],"telemedicine,":[215],"remote":[216],"diagnostics,":[217],"embedded":[219],"AI":[220],"healthcare":[221],"applications.":[222]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-11-03T00:00:00"}