{"id":"https://openalex.org/W3093892147","doi":"https://doi.org/10.1109/icccnt49239.2020.9225342","title":"Integrating Machine Learning with Blockchain to Ensure Data Privacy","display_name":"Integrating Machine Learning with Blockchain to Ensure Data Privacy","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3093892147","doi":"https://doi.org/10.1109/icccnt49239.2020.9225342","mag":"3093892147"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-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/A5000702031","display_name":"Sunil Samanta Singhar","orcid":"https://orcid.org/0000-0003-0751-1869"},"institutions":[{"id":"https://openalex.org/I4210097016","display_name":"International Institute of Information Technology","ror":"https://ror.org/00qryer39","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210097016"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sunil Samanta Singhar","raw_affiliation_strings":["IIIT, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"IIIT, Bhubaneswar, India","institution_ids":["https://openalex.org/I4210097016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102728428","display_name":"Debasish Jena","orcid":"https://orcid.org/0000-0002-1360-7544"},"institutions":[{"id":"https://openalex.org/I4210097016","display_name":"International Institute of Information Technology","ror":"https://ror.org/00qryer39","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210097016"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debasish Jena","raw_affiliation_strings":["IIIT, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"IIIT, Bhubaneswar, India","institution_ids":["https://openalex.org/I4210097016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010137831","display_name":"Suraj Sharma","orcid":"https://orcid.org/0000-0002-9403-9373"},"institutions":[{"id":"https://openalex.org/I4210097016","display_name":"International Institute of Information Technology","ror":"https://ror.org/00qryer39","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210097016"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suraj Sharma","raw_affiliation_strings":["IIIT, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"IIIT, Bhubaneswar, India","institution_ids":["https://openalex.org/I4210097016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000702031"],"corresponding_institution_ids":["https://openalex.org/I4210097016"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63862417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9984999895095825,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9984999895095825,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.813052773475647},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.6269790530204773},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5493849515914917},{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.5373230576515198},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5286477208137512},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.5262219905853271},{"id":"https://openalex.org/keywords/blockchain","display_name":"Blockchain","score":0.512750506401062},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5119503736495972},{"id":"https://openalex.org/keywords/privacy-by-design","display_name":"Privacy by Design","score":0.4440808892250061},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4396733343601227},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.4351634681224823},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42406606674194336},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.4221060872077942},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4134158790111542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23404023051261902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813052773475647},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.6269790530204773},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5493849515914917},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.5373230576515198},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5286477208137512},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5262219905853271},{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.512750506401062},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5119503736495972},{"id":"https://openalex.org/C193934123","wikidata":"https://www.wikidata.org/wiki/Q7246028","display_name":"Privacy by Design","level":3,"score":0.4440808892250061},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4396733343601227},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.4351634681224823},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42406606674194336},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.4221060872077942},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4134158790111542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23404023051261902},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","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":26,"referenced_works":["https://openalex.org/W1994326726","https://openalex.org/W2007902829","https://openalex.org/W2096576767","https://openalex.org/W2155490601","https://openalex.org/W2160553465","https://openalex.org/W2531575371","https://openalex.org/W2626454026","https://openalex.org/W2899381463","https://openalex.org/W2901138015","https://openalex.org/W2906876496","https://openalex.org/W2910711941","https://openalex.org/W2921076730","https://openalex.org/W2944246797","https://openalex.org/W2947170660","https://openalex.org/W2954140238","https://openalex.org/W2971944335","https://openalex.org/W2972218761","https://openalex.org/W2986105311","https://openalex.org/W2992899357","https://openalex.org/W2994825217","https://openalex.org/W2996889640","https://openalex.org/W2998010531","https://openalex.org/W3007690081","https://openalex.org/W3013072262","https://openalex.org/W3121382603","https://openalex.org/W6683676335"],"related_works":["https://openalex.org/W1990049675","https://openalex.org/W2940702331","https://openalex.org/W2095737137","https://openalex.org/W2347687660","https://openalex.org/W3200799053","https://openalex.org/W2570237047","https://openalex.org/W2978773351","https://openalex.org/W4312946877","https://openalex.org/W2547807528","https://openalex.org/W2562597092"],"abstract_inverted_index":{"Nowadays":[0],"data":[1,26,39,52,83,101,138,152,182,190,229,253],"is":[2,17,75,168,216],"collected":[3],"without":[4],"any":[5],"specific":[6],"purpose,":[7],"every":[8],"activity":[9],"of":[10,34,97,100,137,150,163],"a":[11,14,98,147,156,169,203,211,242],"machine":[12],"or":[13,57],"human":[15],"being":[16],"recorded,":[18],"If":[19],"needed":[20,76],"in":[21,69,155,219,231,236],"the":[22,25,32,38,46,66,70,78,82,95,126,134,160,186,198,224,228],"future":[23],"then":[24],"will":[27,40,109,119],"be":[28,62],"analyzed.":[29],"But":[30,196],"here":[31],"question":[33],"trust":[35],"arises":[36],"as":[37,185],"go":[41],"through":[42],"many":[43],"phases":[44],"for":[45,77],"analysis":[47,71],"by":[48,65,102,181],"different":[49],"parties.":[50],"The":[51],"may":[53],"contain":[54],"some":[55],"sensitive":[56],"private":[58],"information":[59,162],"that":[60,172,220],"can":[61,197,208],"miss":[63],"utilized":[64],"organizations":[67],"involved":[68],"stages.":[72],"So":[73,235],"it":[74],"hour":[79],"to":[80,91,93,112,116,142,192,202,245,251],"consider":[81],"privacy":[84,89,139,153,183],"issues":[85,184],"very":[86],"seriously.":[87],"Data":[88],"refers":[90],"how":[92,244],"control":[94],"use":[96,136],"piece":[99],"its":[103],"relative":[104],"importance.":[105],"For":[106],"example,":[107],"someone":[108],"not":[110,120],"hesitate":[111],"say":[113],"his/her":[114],"name":[115],"strangers":[117],"but":[118,230],"share":[121],"mobile":[122],"no.":[123],"address":[124],"until":[125],"stranger":[127],"becomes":[128],"familiar.":[129],"In":[130],"this":[131,237],"digital":[132],"age,":[133],"personal":[135,144],"generally":[140],"applied":[141],"critical":[143,161],"information.":[145],"From":[146],"business":[148],"point":[149],"view,":[151],"operates":[154],"broader":[157],"sense":[158],"beyond":[159],"employees":[164],"&":[165,174,194,249],"customers.":[166],"There":[167],"general":[170],"conclusion":[171],"AI":[173],"Machine":[175,247],"Learning":[176,248],"driven":[177],"technologies":[178],"are":[179,240],"obstructed":[180],"ML":[187],"uses":[188,227],"large":[189],"sets":[191],"train":[193],"test.":[195],"obstacle":[199],"block":[200],"convert":[201],"stepping":[204],"stone?":[205],"Yes,":[206],"It":[207],"be.":[209],"Imagine":[210],"scenario":[212],"where":[213],"no":[214],"one":[215],"trust-able,":[217],"so":[218],"case,":[221],"Blockchain":[222,226,250],"enters":[223],"scene.":[225],"an":[232],"anonymity":[233],"way.":[234],"paper,":[238],"we":[239],"proposing":[241],"way,":[243],"combine":[246],"ensure":[252],"privacy.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}