{"id":"https://openalex.org/W4385453584","doi":"https://doi.org/10.1109/access.2023.3300844","title":"A Near Real-Time Big Data Provenance Generation Method Based on the Conjoint Analysis of Heterogeneous Logs","display_name":"A Near Real-Time Big Data Provenance Generation Method Based on the Conjoint Analysis of Heterogeneous Logs","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385453584","doi":"https://doi.org/10.1109/access.2023.3300844"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3300844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198446.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198446.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048042521","display_name":"Yuanzhao Gao","orcid":"https://orcid.org/0000-0003-0060-0623"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhao Gao","raw_affiliation_strings":["Zhengzhou Science and Technology Institute, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0060-0623","affiliations":[{"raw_affiliation_string":"Zhengzhou Science and Technology Institute, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066358713","display_name":"Xingyuan Chen","orcid":"https://orcid.org/0000-0002-9061-6524"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]},{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyuan Chen","raw_affiliation_strings":["Zhengzhou Science and Technology Institute, Zhengzhou, China","State Key Laboratory of Cryptology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9061-6524","affiliations":[{"raw_affiliation_string":"Zhengzhou Science and Technology Institute, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]},{"raw_affiliation_string":"State Key Laboratory of Cryptology, Beijing, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101527863","display_name":"Binglong Li","orcid":"https://orcid.org/0000-0003-3421-5432"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binglong Li","raw_affiliation_strings":["Zhengzhou Science and Technology Institute, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou Science and Technology Institute, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697401","display_name":"Xuehui Du","orcid":"https://orcid.org/0000-0002-4923-900X"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehui Du","raw_affiliation_strings":["Zhengzhou Science and Technology Institute, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou Science and Technology Institute, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14524272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"80806","last_page":"80821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11937","display_name":"Research Data Management Practices","score":0.98089998960495,"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/T11719","display_name":"Data Quality and Management","score":0.9656999707221985,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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":0.8071889877319336},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6329041123390198},{"id":"https://openalex.org/keywords/provenance","display_name":"Provenance","score":0.6134018898010254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5507498979568481},{"id":"https://openalex.org/keywords/nondeterministic-algorithm","display_name":"Nondeterministic algorithm","score":0.5392839312553406},{"id":"https://openalex.org/keywords/conjoint-analysis","display_name":"Conjoint analysis","score":0.4861118793487549},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.45415300130844116},{"id":"https://openalex.org/keywords/multithreading","display_name":"Multithreading","score":0.4539690613746643},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3854580223560333},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.14989617466926575},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13291549682617188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071889877319336},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6329041123390198},{"id":"https://openalex.org/C2780049196","wikidata":"https://www.wikidata.org/wiki/Q23582628","display_name":"Provenance","level":2,"score":0.6134018898010254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5507498979568481},{"id":"https://openalex.org/C176181172","wikidata":"https://www.wikidata.org/wiki/Q3490301","display_name":"Nondeterministic algorithm","level":2,"score":0.5392839312553406},{"id":"https://openalex.org/C2778054375","wikidata":"https://www.wikidata.org/wiki/Q203973","display_name":"Conjoint analysis","level":3,"score":0.4861118793487549},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.45415300130844116},{"id":"https://openalex.org/C201410400","wikidata":"https://www.wikidata.org/wiki/Q1064412","display_name":"Multithreading","level":3,"score":0.4539690613746643},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3854580223560333},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.14989617466926575},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13291549682617188},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.0},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3300844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198446.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f2dc6d0dd17a4602906753b0c32982cb","is_oa":true,"landing_page_url":"https://doaj.org/article/f2dc6d0dd17a4602906753b0c32982cb","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":"IEEE Access, Vol 11, Pp 80806-80821 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3300844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198446.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1652560397","display_name":null,"funder_award_id":"2018YFB0803603","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385453584.pdf","grobid_xml":"https://content.openalex.org/works/W4385453584.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1972493639","https://openalex.org/W2008259255","https://openalex.org/W2013665936","https://openalex.org/W2029021214","https://openalex.org/W2050516909","https://openalex.org/W2063871082","https://openalex.org/W2119738171","https://openalex.org/W2128226234","https://openalex.org/W2289441824","https://openalex.org/W2604395162","https://openalex.org/W2747669027","https://openalex.org/W2789202269","https://openalex.org/W2889850233","https://openalex.org/W2924255725","https://openalex.org/W2995564009","https://openalex.org/W3008508243","https://openalex.org/W3010167356","https://openalex.org/W3049171182","https://openalex.org/W3086791196","https://openalex.org/W3095119922","https://openalex.org/W3126165507","https://openalex.org/W3138838255","https://openalex.org/W4214762475","https://openalex.org/W4283032468","https://openalex.org/W4307216913","https://openalex.org/W4311703141","https://openalex.org/W4366747489","https://openalex.org/W4375928927","https://openalex.org/W6622621606","https://openalex.org/W6636198084","https://openalex.org/W6639074551"],"related_works":["https://openalex.org/W2354627941","https://openalex.org/W2347483153","https://openalex.org/W2353379336","https://openalex.org/W2379683085","https://openalex.org/W2363868702","https://openalex.org/W2374448931","https://openalex.org/W2376723740","https://openalex.org/W2370535391","https://openalex.org/W2370679613","https://openalex.org/W2380057024"],"abstract_inverted_index":{"Data":[0],"provenance":[1,21,43,73,89,161,190,196,241],"is":[2,61,65,154,199,225],"an":[3],"effective":[4],"approach":[5],"for":[6,46,67,142,177],"data":[7,17,47,83,105,121,135],"security":[8],"supervision.":[9,49],"In":[10,163,193],"the":[11,20,26,37,42,51,55,72,81,86,93,108,126,140,143,158,168,203,213],"distributed,":[12],"multi-user,":[13],"and":[14,32,63,111,123,145,150,182,239],"multi-layer":[15],"big":[16,82,104],"system,":[18],"only":[19],"generation":[22,90,172,197],"method,":[23],"which":[24],"leverages":[25],"information":[27,44,74,191,242],"logged":[28],"at":[29],"both":[30],"application":[31],"operating":[33],"system":[34,106],"level,":[35],"has":[36],"capacity":[38],"to":[39,69,156,165,188,201],"completely":[40],"obtain":[41],"required":[45],"usage":[48],"However,":[50],"current":[52],"research":[53,109],"on":[54,92,119],"conjoint":[56,128],"analysis":[57,94,116,129,175,206],"of":[58,95,130,147,160],"multiple":[59,96,131],"logs":[60,234],"inadequate,":[62],"it":[64],"difficult":[66],"them":[68],"effectively":[70],"integrate":[71],"extracted":[75],"from":[76],"different":[77],"logs,":[78,98,132],"especially":[79],"in":[80,235],"scenario.":[84],"For":[85,125],"near":[87,236],"real-time":[88],"based":[91,118],"heterogeneous":[97],"this":[99],"paper":[100],"employs":[101],"a":[102,113,151,195],"Hadoop-based":[103],"as":[107,139],"object,":[110],"proposes":[112],"parallel":[114],"log":[115,148,170,174,205,214],"method":[117,153,231],"auxiliary":[120,134],"structures":[122,136],"multi-threading.":[124],"efficient":[127],"5":[133],"are":[137,186],"constructed":[138],"medium":[141],"correlation":[144],"fusion":[146],"information,":[149],"multi-threading":[152],"presented":[155],"parallelize":[157],"lookup":[159],"information.":[162],"order":[164],"cope":[166],"with":[167],"complex":[169],"record":[171],"rules,":[173],"methods":[176],"nondeterministic":[178],"records,":[179],"non-instantaneous":[180],"operations,":[181],"instantaneous":[183],"batch":[184],"operations":[185],"proposed":[187,204,230],"generate":[189,240],"correctly.":[192,243],"addition,":[194],"framework":[198],"established":[200],"implement":[202],"method.":[207],"The":[208,229],"experimental":[209],"results":[210],"show":[211],"that":[212],"collection":[215],"time":[216,238],"overhead":[217],"caused":[218],"by":[219],"processing":[220],"files":[221],"above":[222],"MB":[223],"level":[224],"less":[226],"than":[227],"0.1%.":[228],"can":[232],"analyze":[233],"real":[237]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}