{"id":"https://openalex.org/W7128775014","doi":"https://doi.org/10.1109/iceca66444.2025.11383111","title":"Efficient and Secure Big Data Analytics via Federated Mining Techniques","display_name":"Efficient and Secure Big Data Analytics via Federated Mining Techniques","publication_year":2025,"publication_date":"2025-11-05","ids":{"openalex":"https://openalex.org/W7128775014","doi":"https://doi.org/10.1109/iceca66444.2025.11383111"},"language":"en","primary_location":{"id":"doi:10.1109/iceca66444.2025.11383111","doi":"https://doi.org/10.1109/iceca66444.2025.11383111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceca66444.2025.11383111","pdf_url":null,"source":{"id":"https://openalex.org/S4363607835","display_name":"International Conference on Electronics, Communication and Aerospace Technology (ICECA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5041410733","display_name":"Rajesh Goud","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R.Gautham Goud","raw_affiliation_strings":["Sreenidhi University, Yamnampet, Ghatkesar,Department of Mathematics,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sreenidhi University, Yamnampet, Ghatkesar,Department of Mathematics,Hyderabad,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125956123","display_name":"B.Vittal","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B.Vittal","raw_affiliation_strings":["CVR College of Engineering, Ibrahimpatnem,Department of Statistics,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVR College of Engineering, Ibrahimpatnem,Department of Statistics,Hyderabad,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125900277","display_name":"A.Sadanandam","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.Sadanandam","raw_affiliation_strings":["Vidya Jyothi Institute of Technology AziznagarGate,Department of Mathematics,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vidya Jyothi Institute of Technology AziznagarGate,Department of Mathematics,Hyderabad,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006962102","display_name":"R.Banu priya","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R.Banu Priya","raw_affiliation_strings":["Hindusthan Institute of Technology,Department of Information Technology,Coimbatore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindusthan Institute of Technology,Department of Information Technology,Coimbatore,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138140200","display_name":"G. Ganesh Kumar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G.Ganesh Kumar","raw_affiliation_strings":["Nehru Institute of Technology,Department of Computer Science and Engineering,Coimbatore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nehru Institute of Technology,Department of Computer Science and Engineering,Coimbatore,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058847043","display_name":"S. P. Santhoshkumar","orcid":"https://orcid.org/0000-0001-8531-759X","observed_orcids":["https://orcid.org/0000-0001-8531-759X","https://orcid.org/0009-0007-8835-0505"]},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S.P.Santhoshkumar","raw_affiliation_strings":["Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi,Department of Computer Science and Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I1330855593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4967,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91042599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1813","last_page":"1819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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":0.9994999766349792,"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/T10237","display_name":"Cryptography and Data Security","score":0.00019999999494757503,"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"}},{"id":"https://openalex.org/T11614","display_name":"Cloud Data Security Solutions","score":9.999999747378752e-05,"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/federated-learning","display_name":"federated learning","score":0.9549999833106995},{"id":"https://openalex.org/keywords/privacy-preserving-data-mining","display_name":"privacy-preserving data mining","score":0.9049999713897705},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"homomorphic encryption","score":0.8740000128746033},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"differential privacy","score":0.9089999794960022},{"id":"https://openalex.org/keywords/secure-multi-party-computation","display_name":"secure multi-party computation","score":0.8669999837875366},{"id":"https://openalex.org/keywords/big-data-analytics","display_name":"big data analytics","score":0.9049999713897705},{"id":"https://openalex.org/keywords/privacy-leakage","display_name":"privacy leakage","score":0.7250000238418579},{"id":"https://openalex.org/keywords/communication-overhead","display_name":"communication overhead","score":0.7549999952316284},{"id":"https://openalex.org/keywords/model-inversion-attacks","display_name":"model inversion attacks","score":0.7699999809265137},{"id":"https://openalex.org/keywords/data-poisoning-attacks","display_name":"data poisoning","score":0.7279999852180481},{"id":"https://openalex.org/keywords/health-data","display_name":"health data","score":0.8330000042915344},{"id":"https://openalex.org/keywords/financial-data","display_name":"financial data","score":0.8230000138282776},{"id":"https://openalex.org/keywords/image-data","display_name":"image data","score":0.7829999923706055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116999864578247},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6654000282287598},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5702999830245972},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5609999895095825},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.5544999837875366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5224999785423279},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5164999961853027},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.40529999136924744},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33500000834465027},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C2776452267","wikidata":"https://www.wikidata.org/wiki/Q1503443","display_name":"Secrecy","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceca66444.2025.11383111","doi":"https://doi.org/10.1109/iceca66444.2025.11383111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceca66444.2025.11383111","pdf_url":null,"source":{"id":"https://openalex.org/S4363607835","display_name":"International Conference on Electronics, Communication and Aerospace Technology (ICECA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2116025923","https://openalex.org/W2132172731","https://openalex.org/W2767079719","https://openalex.org/W2911978475","https://openalex.org/W2912213068","https://openalex.org/W4387337829","https://openalex.org/W4390604022","https://openalex.org/W4407266090","https://openalex.org/W4412867682"],"related_works":["https://openalex.org/W7162106976","https://openalex.org/W4313650188","https://openalex.org/W7140852282","https://openalex.org/W7132824520","https://openalex.org/W4406416429","https://openalex.org/W3206144059","https://openalex.org/W7135016519","https://openalex.org/W4386477584","https://openalex.org/W4407998974","https://openalex.org/W7084766112"],"abstract_inverted_index":{"The":[0],"exponential":[1],"growth":[2],"of":[3,11,107],"large":[4,162],"data":[5,25,47,138,163],"provides":[6],"huge":[7],"opportunities":[8],"for":[9,159],"discovery":[10],"knowledge,":[12],"but":[13],"also":[14],"increases":[15],"important":[16],"concerns":[17],"about":[18],"privacy,":[19,65],"security":[20],"and":[21,60,68,73,118,137,156],"scalability.":[22],"Traditional":[23],"centralized":[24,99],"mining":[26],"approaches":[27],"increase":[28],"the":[29,78,128,150],"risk":[30],"by":[31],"collecting":[32],"sensitive":[33],"information":[34],"in":[35,109,115],"a":[36,46,94,105,141,153],"single":[37],"repository.":[38],"To":[39],"solve":[40],"these":[41],"challenges,":[42],"this":[43],"study":[44],"proposes":[45],"sources":[48],"without":[49],"highlighting":[50],"raw":[51],"data.":[52],"Framework":[53],"integrates":[54],"secured":[55],"multipratis":[56],"computation,":[57],"homomorphic":[58],"encryption":[59],"differential":[61],"secrecy":[62],"to":[63,98],"ensure":[64],"reduce":[66],"overhead":[67,121],"maintain":[69],"efficiency.":[70],"Healthcare,":[71],"finance":[72],"image":[74],"dataset":[75],"displays":[76],"that":[77],"proposed":[79],"system":[80],"only":[81,93],"receives":[82],"high":[83,88],"future":[84],"accuracy":[85,90],"(92%)":[86,91],"with":[87,92,140],"future-staging":[89],"minor":[95],"trade-band":[96],"compared":[97],"learning":[100],"(94%).":[101],"Statistical":[102],"results":[103],"show":[104],"decrease":[106,114],"80%":[108],"privacy":[110],"leakage":[111],"risk,":[112],"25%":[113],"communication":[116],"costs,":[117],"acceptable":[119],"computational":[120],"(~":[122],"1.5":[123],"\u00d7).":[124],"Strong":[125],"tests":[126],"confirm":[127],"flexibility":[129],"against":[130],"adverse":[131],"hazards":[132],"such":[133],"as":[134,152],"model":[135],"inverted":[136],"poisoning":[139],"performance":[142],"drop":[143],"less":[144],"than":[145],"5%.":[146],"These":[147],"findings":[148],"validate":[149],"outline":[151],"safe,":[154],"accurate":[155],"scalable":[157],"solution":[158],"real":[160],"-world":[161],"applications.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":7}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-02-14T00:00:00"}
