{"id":"https://openalex.org/W3126814045","doi":"https://doi.org/10.1155/2021/6699313","title":"Sensors Anomaly Detection of Industrial Internet of Things Based on Isolated Forest Algorithm and Data Compression","display_name":"Sensors Anomaly Detection of Industrial Internet of Things Based on Isolated Forest Algorithm and Data Compression","publication_year":2021,"publication_date":"2021-01-30","ids":{"openalex":"https://openalex.org/W3126814045","doi":"https://doi.org/10.1155/2021/6699313","mag":"3126814045"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6699313","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6699313","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6699313.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/6699313.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101951029","display_name":"Desheng Liu","orcid":"https://orcid.org/0000-0001-8081-0086"},"institutions":[{"id":"https://openalex.org/I151893264","display_name":"Jiamusi University","ror":"https://ror.org/01vasff55","country_code":"CN","type":"education","lineage":["https://openalex.org/I151893264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Desheng Liu","raw_affiliation_strings":["College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China"],"raw_orcid":"https://orcid.org/0000-0001-8081-0086","affiliations":[{"raw_affiliation_string":"College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China","institution_ids":["https://openalex.org/I151893264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050660200","display_name":"Hang Zhen","orcid":null},"institutions":[{"id":"https://openalex.org/I151893264","display_name":"Jiamusi University","ror":"https://ror.org/01vasff55","country_code":"CN","type":"education","lineage":["https://openalex.org/I151893264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zhen","raw_affiliation_strings":["College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China","institution_ids":["https://openalex.org/I151893264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003880843","display_name":"Dequan Kong","orcid":"https://orcid.org/0000-0001-9994-3946"},"institutions":[{"id":"https://openalex.org/I151893264","display_name":"Jiamusi University","ror":"https://ror.org/01vasff55","country_code":"CN","type":"education","lineage":["https://openalex.org/I151893264"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dequan Kong","raw_affiliation_strings":["College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China"],"raw_orcid":"https://orcid.org/0000-0001-9994-3946","affiliations":[{"raw_affiliation_string":"College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China","institution_ids":["https://openalex.org/I151893264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033899300","display_name":"Xiaowei Chen","orcid":"https://orcid.org/0000-0003-4564-5120"},"institutions":[{"id":"https://openalex.org/I151893264","display_name":"Jiamusi University","ror":"https://ror.org/01vasff55","country_code":"CN","type":"education","lineage":["https://openalex.org/I151893264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Chen","raw_affiliation_strings":["College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China","institution_ids":["https://openalex.org/I151893264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701996","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-5532-8423"},"institutions":[{"id":"https://openalex.org/I151893264","display_name":"Jiamusi University","ror":"https://ror.org/01vasff55","country_code":"CN","type":"education","lineage":["https://openalex.org/I151893264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China","institution_ids":["https://openalex.org/I151893264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032126641","display_name":"Mingrun Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I151893264","display_name":"Jiamusi University","ror":"https://ror.org/01vasff55","country_code":"CN","type":"education","lineage":["https://openalex.org/I151893264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrun Yuan","raw_affiliation_strings":["College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China","institution_ids":["https://openalex.org/I151893264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101427481","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-8051-3695"},"institutions":[{"id":"https://openalex.org/I151893264","display_name":"Jiamusi University","ror":"https://ror.org/01vasff55","country_code":"CN","type":"education","lineage":["https://openalex.org/I151893264"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Wang","raw_affiliation_strings":["College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China"],"raw_orcid":"https://orcid.org/0000-0002-8051-3695","affiliations":[{"raw_affiliation_string":"College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China","institution_ids":["https://openalex.org/I151893264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5003880843","https://openalex.org/A5101427481"],"corresponding_institution_ids":["https://openalex.org/I151893264"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":3.0781,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92653238,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9891999959945679,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9634000062942505,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7915853261947632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7636759281158447},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5959004759788513},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5474912524223328},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5410938858985901},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.526982307434082},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4946112334728241},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.47984644770622253},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4653732478618622},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42482975125312805},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3390922546386719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2694639563560486},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13006794452667236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10262787342071533}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7915853261947632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7636759281158447},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5959004759788513},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5474912524223328},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5410938858985901},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.526982307434082},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4946112334728241},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.47984644770622253},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4653732478618622},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42482975125312805},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3390922546386719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2694639563560486},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13006794452667236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10262787342071533},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6699313","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6699313","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6699313.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:29f0ef30b0814c2e9600ca424adce554","is_oa":false,"landing_page_url":"https://doaj.org/article/29f0ef30b0814c2e9600ca424adce554","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6699313","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6699313","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6699313.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322217","display_name":"Department of Education, Heilongjiang Province","ror":"https://ror.org/04rn1rm44"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3126814045.pdf","grobid_xml":"https://content.openalex.org/works/W3126814045.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1539879201","https://openalex.org/W2004573430","https://openalex.org/W2029608738","https://openalex.org/W2035012280","https://openalex.org/W2105103777","https://openalex.org/W2109694884","https://openalex.org/W2116339265","https://openalex.org/W2516088829","https://openalex.org/W2745993090","https://openalex.org/W2805611890","https://openalex.org/W2894873043","https://openalex.org/W2900947057","https://openalex.org/W2903266766","https://openalex.org/W2913085327","https://openalex.org/W2969209006","https://openalex.org/W2989414406","https://openalex.org/W3003064026","https://openalex.org/W3011140869","https://openalex.org/W3011727199","https://openalex.org/W3019761014","https://openalex.org/W4251380145"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"solving":[2],"network":[3],"delay":[4],"caused":[5,103],"by":[6,34,46,104,128],"large":[7],"chunks":[8],"of":[9,14,59,67,73,79,84,116,157],"data":[10,17,32,68,161],"in":[11,28,40,118,148,160],"industrial":[12],"Internet":[13],"Things,":[15],"a":[16],"compression":[18,85,162],"algorithm":[19,90,134,144],"based":[20,91,135,145],"on":[21,92,136,146],"edge":[22],"computing":[23],"is":[24,95,126],"creatively":[25],"put":[26],"forward":[27],"this":[29],"paper.":[30],"The":[31],"collected":[33],"sensors":[35],"need":[36],"to":[37,120],"be":[38],"handled":[39],"advance":[41],"and":[42,52,77,107,110,112,141,155,163],"are":[43],"then":[44],"processed":[45],"different":[47],"single":[48],"packet":[49],"quantity":[50],"K":[51],"error":[53],"threshold":[54],"e":[55],"for":[56],"multiple":[57],"groups":[58],"comparative":[60],"experiments,":[61],"which":[62,97,151],"greatly":[63],"reduces":[64],"the":[65,71,75,82,101,114,122,131,153,158],"amount":[66],"transmission":[69],"under":[70],"premise":[72],"ensuring":[74],"instantaneity":[76],"effectiveness":[78],"data.":[80],"On":[81],"basis":[83],"processing,":[86],"an":[87],"outlier":[88],"detection":[89,164],"isolated":[93,132],"forest":[94,133],"proposed,":[96],"can":[98],"accurately":[99],"identify":[100],"anomaly":[102,149],"gradual":[105],"change":[106,109],"sudden":[108],"control":[111,123],"adjust":[113],"action":[115],"equipment,":[117],"order":[119],"meet":[121],"requirement.":[124],"As":[125],"shown":[127],"experimental":[129],"simulation,":[130],"partition":[137],"outperforms":[138],"box":[139],"graph":[140],"K-means":[142],"clustering":[143],"distance":[147],"detection,":[150],"verifies":[152],"feasibility":[154],"advantages":[156],"former":[159],"accuracy.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
