{"id":"https://openalex.org/W3134716518","doi":"https://doi.org/10.1109/iceic51217.2021.9369776","title":"Performance Analyses for Applying Machine Learning on Bitcoin Miners","display_name":"Performance Analyses for Applying Machine Learning on Bitcoin Miners","publication_year":2021,"publication_date":"2021-01-31","ids":{"openalex":"https://openalex.org/W3134716518","doi":"https://doi.org/10.1109/iceic51217.2021.9369776","mag":"3134716518"},"language":"en","primary_location":{"id":"doi:10.1109/iceic51217.2021.9369776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic51217.2021.9369776","pdf_url":null,"source":{"id":"https://openalex.org/S4306498844","display_name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5058487069","display_name":"Wenjun Fan","orcid":"https://orcid.org/0000-0002-7363-9695"},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenjun Fan","raw_affiliation_strings":["Computer Science Department, College of Engineering and Applied Science, University of Colorado, Colorado Springs, CO, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, College of Engineering and Applied Science, University of Colorado, Colorado Springs, CO, United States","institution_ids":["https://openalex.org/I888729015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101877231","display_name":"Jinoh Kim","orcid":"https://orcid.org/0000-0002-9835-1866"},"institutions":[{"id":"https://openalex.org/I206651237","display_name":"Texas A&M University \u2013 Commerce","ror":"https://ror.org/01red3556","country_code":"US","type":"education","lineage":["https://openalex.org/I206651237"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinoh Kim","raw_affiliation_strings":["Computer Science Department, Texas A&M University, Commerce, TX, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Texas A&M University, Commerce, TX, United States","institution_ids":["https://openalex.org/I206651237"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084546292","display_name":"Ikkyun Kim","orcid":"https://orcid.org/0000-0001-8915-3270"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ikkyun Kim","raw_affiliation_strings":["Cybersecurity Research Division, ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Cybersecurity Research Division, ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078528016","display_name":"Xiaobo Zhou","orcid":"https://orcid.org/0000-0002-0466-7609"},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobo Zhou","raw_affiliation_strings":["Computer Science Department, College of Engineering and Applied Science, University of Colorado, Colorado Springs, CO, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, College of Engineering and Applied Science, University of Colorado, Colorado Springs, CO, United States","institution_ids":["https://openalex.org/I888729015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025389734","display_name":"Sang\u2010Yoon Chang","orcid":"https://orcid.org/0000-0002-5736-5823"},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sang-Yoon Chang","raw_affiliation_strings":["Computer Science Department, College of Engineering and Applied Science, University of Colorado, Colorado Springs, CO, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, College of Engineering and Applied Science, University of Colorado, Colorado Springs, CO, United States","institution_ids":["https://openalex.org/I888729015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058487069"],"corresponding_institution_ids":["https://openalex.org/I888729015"],"apc_list":null,"apc_paid":null,"fwci":1.4181,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80784462,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9948999881744385,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8083681464195251},{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.7366254329681396},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6740238666534424},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5420880913734436},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46373051404953003},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.43303507566452026},{"id":"https://openalex.org/keywords/peer-to-peer","display_name":"Peer-to-peer","score":0.43007326126098633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41816478967666626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3918476700782776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3528178036212921},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29638350009918213},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26505646109580994},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11246722936630249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083681464195251},{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.7366254329681396},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6740238666534424},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5420880913734436},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46373051404953003},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.43303507566452026},{"id":"https://openalex.org/C534932454","wikidata":"https://www.wikidata.org/wiki/Q161410","display_name":"Peer-to-peer","level":2,"score":0.43007326126098633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41816478967666626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3918476700782776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3528178036212921},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29638350009918213},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26505646109580994},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11246722936630249},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic51217.2021.9369776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic51217.2021.9369776","pdf_url":null,"source":{"id":"https://openalex.org/S4306498844","display_name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1581121707","https://openalex.org/W2103863878","https://openalex.org/W2185744359","https://openalex.org/W2295506186","https://openalex.org/W2782052028","https://openalex.org/W2783095957","https://openalex.org/W2807297025","https://openalex.org/W2900483609","https://openalex.org/W2947589355","https://openalex.org/W2964139938","https://openalex.org/W3090576968","https://openalex.org/W3105327943","https://openalex.org/W4248175462","https://openalex.org/W4289799450","https://openalex.org/W4295720041","https://openalex.org/W6634793266","https://openalex.org/W6747811601"],"related_works":["https://openalex.org/W2028024605","https://openalex.org/W1595983809","https://openalex.org/W2391167130","https://openalex.org/W4242263690","https://openalex.org/W2092071486","https://openalex.org/W2001888460","https://openalex.org/W4283067488","https://openalex.org/W2100136028","https://openalex.org/W2098672555","https://openalex.org/W2361238304"],"abstract_inverted_index":{"Bitcoin":[0,11],"and":[1,15,23,48,64,70,77,90,96],"cryptocurrency":[2],"rely":[3],"on":[4,10,99],"peer-to-peer":[5],"(P2P)":[6],"networking.":[7],"Incorporating":[8],"intelligence":[9,35],"miners":[12,40],"to":[13,85],"analyze":[14],"control":[16],"networking":[17,26],"can":[18,52],"improve":[19],"the":[20,43,49,62,65,79,82,87,93,103,107],"information":[21],"delivery":[22],"defend":[24],"against":[25],"threats.":[27],"However,":[28],"applying":[29],"machine":[30],"learning":[31],"(ML)":[32],"for":[33],"building":[34],"introduces":[36],"a":[37],"challenge":[38],"because":[39],"participate":[41],"in":[42,112],"resource-intensive":[44],"distributed":[45],"consensus":[46],"protocol":[47],"ML":[50,68,83,94,108],"application":[51],"consume":[53],"much":[54],"computing":[55],"resources.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"study":[61],"feasibility":[63],"interplay":[66],"between":[67],"algorithms":[69,84,95],"mining":[71,100,104],"operations.":[72],"Our":[73],"prototype-based":[74],"experiments":[75],"measure":[76],"compare":[78],"performance":[80],"of":[81,92],"evaluate":[86],"implementation":[88],"overhead":[89],"efficiencies":[91],"their":[97],"impacts":[98],"operations,":[101],"i.e.,":[102],"reduction":[105],"when":[106],"algorithm":[109],"is":[110],"running":[111],"parallel.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}