{"id":"https://openalex.org/W2790157273","doi":"https://doi.org/10.1109/tbdata.2018.2805687","title":"A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets","display_name":"A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets","publication_year":2018,"publication_date":"2018-02-13","ids":{"openalex":"https://openalex.org/W2790157273","doi":"https://doi.org/10.1109/tbdata.2018.2805687","mag":"2790157273"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2018.2805687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2018.2805687","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},"type":"article","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/A5034854700","display_name":"Mohammed Aledhari","orcid":"https://orcid.org/0000-0002-5380-6003"},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Aledhari","raw_affiliation_strings":["Department of Computer Science, Western Michigan University, Kalamazoo, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-5380-6003","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Western Michigan University, Kalamazoo, MI, USA","institution_ids":["https://openalex.org/I141649380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090492705","display_name":"Marianne Di Pierro","orcid":null},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marianne Di Pierro","raw_affiliation_strings":["Western Michigan University, Kalamazoo, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Michigan University, Kalamazoo, MI, USA","institution_ids":["https://openalex.org/I141649380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057692968","display_name":"Mohamed Hefeida","orcid":"https://orcid.org/0000-0003-4738-9415"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Hefeida","raw_affiliation_strings":["University of Idaho, Moscow, ID, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Idaho, Moscow, ID, USA","institution_ids":["https://openalex.org/I155093810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102729196","display_name":"Fahad Saeed","orcid":"https://orcid.org/0000-0002-3410-9552"},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fahad Saeed","raw_affiliation_strings":["Western Michigan University, Kalamazoo, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-3410-9552","affiliations":[{"raw_affiliation_string":"Western Michigan University, Kalamazoo, MI, USA","institution_ids":["https://openalex.org/I141649380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1827,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83869021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"2","first_page":"271","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9980999827384949,"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/T12029","display_name":"DNA and Biological Computing","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8721505403518677},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.614760160446167},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5754759311676025},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5151478052139282},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5016331672668457},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4929022789001465},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.44575902819633484},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.4269871711730957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4117879867553711},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3642292618751526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34373682737350464},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.30171898007392883},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22471404075622559},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.13976001739501953},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09978687763214111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8721505403518677},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.614760160446167},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5754759311676025},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5151478052139282},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5016331672668457},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4929022789001465},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.44575902819633484},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.4269871711730957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4117879867553711},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3642292618751526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34373682737350464},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30171898007392883},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22471404075622559},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.13976001739501953},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09978687763214111}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2018.2805687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2018.2805687","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1039719750","display_name":null,"funder_award_id":"CAREER ACI-1651724","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5329755575","display_name":null,"funder_award_id":"CRII CCF-1464268","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W173469595","https://openalex.org/W239964209","https://openalex.org/W1530918642","https://openalex.org/W1540641082","https://openalex.org/W1551803272","https://openalex.org/W1558954926","https://openalex.org/W1580101844","https://openalex.org/W1582081546","https://openalex.org/W1779735989","https://openalex.org/W1860995734","https://openalex.org/W1970231722","https://openalex.org/W1993720950","https://openalex.org/W1996816368","https://openalex.org/W2000669378","https://openalex.org/W2024171325","https://openalex.org/W2058401000","https://openalex.org/W2060108852","https://openalex.org/W2060427373","https://openalex.org/W2095724872","https://openalex.org/W2102729801","https://openalex.org/W2104093114","https://openalex.org/W2107745473","https://openalex.org/W2112796928","https://openalex.org/W2118432914","https://openalex.org/W2121627353","https://openalex.org/W2126711987","https://openalex.org/W2127912200","https://openalex.org/W2131106408","https://openalex.org/W2132365957","https://openalex.org/W2134295053","https://openalex.org/W2137847645","https://openalex.org/W2138196010","https://openalex.org/W2143973383","https://openalex.org/W2150092391","https://openalex.org/W2161488606","https://openalex.org/W2161628678","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2176566884","https://openalex.org/W2190038944","https://openalex.org/W2247274915","https://openalex.org/W2329190694","https://openalex.org/W2335383608","https://openalex.org/W2344077679","https://openalex.org/W2407276536","https://openalex.org/W2602771387","https://openalex.org/W2919115771","https://openalex.org/W2972338155","https://openalex.org/W4230038347","https://openalex.org/W4239152584","https://openalex.org/W4245403080","https://openalex.org/W4285719527","https://openalex.org/W6609205758","https://openalex.org/W6678795934","https://openalex.org/W6679598126","https://openalex.org/W6683504902","https://openalex.org/W6684191040","https://openalex.org/W6691133767","https://openalex.org/W6767643791","https://openalex.org/W6906355099"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2090054304","https://openalex.org/W98604564"],"abstract_inverted_index":{"In":[0,133],"the":[1,10,55,61,65,70,98,148,153,158,161,169,176,184,191,198,206,229,238,273,288,297,319],"age":[2],"of":[3,25,47,57,67,103,108,190,201,210,224,245,296],"Big":[4],"Genomics":[5],"Data,":[6],"institutions":[7],"such":[8,121],"as":[9,122],"National":[11],"Human":[12],"Genome":[13],"Research":[14],"Institute":[15],"(NHGRI)":[16],"are":[17,60],"challenged":[18],"in":[19,187,294,313],"their":[20],"efforts":[21],"to":[22,44,75,86,91,183,220,228,280,318],"share":[23],"volumes":[24],"data":[26,58,77,111,142,159,194,275],"between":[27,112],"researchers,":[28],"a":[29,104,138,222],"process":[30],"that":[31,53,145,272],"has":[32],"been":[33],"plagued":[34],"by":[35,96,167],"unreliable":[36],"transfers":[37],"and":[38,64,127,164,204,253,255,259,267,284,301,323],"slow":[39],"speeds.":[40],"These":[41],"occur":[42],"due":[43,85],"throughput":[45],"bottlenecks":[46],"traditional":[48],"transfer":[49,124,129,151,239],"technologies.":[50],"Two":[51],"factors":[52],"affect":[54],"efficiency":[56],"transmission":[59,102,107,244],"channel":[62,93],"bandwidth":[63,71],"amount":[66],"data.":[68],"Increasing":[69],"is":[72,95,116,278],"one":[73],"way":[74,90],"transmit":[76],"efficiently,":[78],"but":[79],"might":[80],"not":[81],"always":[82],"be":[83,316],"possible":[84],"resource":[87],"limitations.":[88],"Another":[89],"maximize":[92],"utilization":[94],"decreasing":[97],"bits":[99,252],"needed":[100],"for":[101,175],"dataset.":[105,192],"Traditionally,":[106],"big":[109,246],"genomic":[110,247],"two":[113],"geographical":[114],"locations":[115],"done":[117],"using":[118,213],"general-purpose":[119],"protocols,":[120],"hypertext":[123],"protocol":[125,130,312],"(HTTP)":[126],"file":[128],"(FTP)":[131],"secure.":[132],"this":[134],"paper,":[135],"we":[136,179],"present":[137],"novel":[139],"deep":[140,214],"learning-based":[141,215],"minimization":[143,195,276],"algorithm":[144,242,277],"1)":[146],"minimizes":[147],"datasets":[149,249],"during":[150,237],"over":[152],"carrier":[154],"channels;":[155],"2)":[156],"protects":[157],"from":[160],"man-in-the-middle":[162],"(MITM)":[163],"other":[165],"attacks":[166],"changing":[168],"binary":[170,207],"representation":[171,208],"(content-encoding)":[172],"several":[173],"times":[174,282,303],"same":[177,185],"dataset:":[178],"assign":[180],"different":[181,188,234],"codewords":[182],"character":[186],"parts":[189],"Our":[193,262],"strategy":[196],"exploits":[197],"alphabet":[199],"limitation":[200],"DNA":[202,248],"sequences":[203],"modifies":[205],"(codeword)":[209],"dataset":[211],"characters":[212,232],"convolutional":[216],"neural":[217],"network":[218],"(CNN)":[219],"ensure":[221],"minimum":[223],"code":[225],"word":[226],"uses":[227],"high":[230],"frequency":[231],"at":[233],"time":[235],"slots":[236],"time.":[240],"This":[241],"ensures":[243],"with":[250],"minimal":[251],"latency":[254],"yields":[256],"an":[257],"efficient":[258],"expedient":[260],"process.":[261],"tested":[263,308],"heuristic":[264],"model,":[265],"simulation,":[266],"real":[268],"implementation":[269],"results":[270],"indicate":[271],"proposed":[274],"up":[279],"99":[281],"faster":[283,304],"more":[285],"secure":[286],"than":[287,305],"currently":[289],"used":[290,293],"content-encoding":[291,299],"scheme":[292,300],"HTTP":[295,298],"96":[302],"FTP":[306],"on":[307],"datasets.":[309],"The":[310],"developed":[311],"C#":[314],"will":[315],"available":[317],"wider":[320],"genomics":[321],"community":[322],"domain":[324],"scientists.":[325]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
