{"id":"https://openalex.org/W3012046663","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023207","title":"Edge Mining on IoT Devices Using Anomaly Detection","display_name":"Edge Mining on IoT Devices Using Anomaly Detection","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012046663","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023207","mag":"3012046663"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5103873933","display_name":"Kavin Kamaraj","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kavin Kamaraj","raw_affiliation_strings":["Department of Computer Science and Engineering, Internet of Things Research Lab, Santa Clara University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Internet of Things Research Lab, Santa Clara University, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040461963","display_name":"Behnam Dezfouli","orcid":"https://orcid.org/0000-0001-6090-0412"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnam Dezfouli","raw_affiliation_strings":["Department of Computer Science and Engineering, Internet of Things Research Lab, Santa Clara University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Internet of Things Research Lab, Santa Clara University, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100324600","display_name":"Yuhong Liu","orcid":"https://orcid.org/0000-0002-3717-427X"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhong Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, Internet of Things Research Lab, Santa Clara University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Internet of Things Research Lab, Santa Clara University, USA","institution_ids":["https://openalex.org/I16269868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103873933"],"corresponding_institution_ids":["https://openalex.org/I16269868"],"apc_list":null,"apc_paid":null,"fwci":1.2379,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82464846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9987999796867371,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7923372983932495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7830162644386292},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7245193719863892},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6664834022521973},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6448661684989929},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5557156801223755},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.49967050552368164},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49498337507247925},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.48931142687797546},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.47112250328063965},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4682634472846985},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4517896771430969},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3372553586959839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3082736134529114},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07176455855369568}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7923372983932495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7830162644386292},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7245193719863892},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6664834022521973},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6448661684989929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5557156801223755},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.49967050552368164},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49498337507247925},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.48931142687797546},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.47112250328063965},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4682634472846985},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4517896771430969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3372553586959839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3082736134529114},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07176455855369568},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W232876404","https://openalex.org/W1496508106","https://openalex.org/W1502680304","https://openalex.org/W1561047780","https://openalex.org/W1782702917","https://openalex.org/W1943579973","https://openalex.org/W1976262362","https://openalex.org/W1985987493","https://openalex.org/W2058033677","https://openalex.org/W2097533491","https://openalex.org/W2101234009","https://openalex.org/W2103869494","https://openalex.org/W2114623221","https://openalex.org/W2124833832","https://openalex.org/W2136132422","https://openalex.org/W2153919695","https://openalex.org/W2331106415","https://openalex.org/W2345655564","https://openalex.org/W2403816530","https://openalex.org/W2472333518","https://openalex.org/W2512664499","https://openalex.org/W2534270843","https://openalex.org/W2557450880","https://openalex.org/W2560185016","https://openalex.org/W2560251073","https://openalex.org/W2591796333","https://openalex.org/W2611569060","https://openalex.org/W2620678361","https://openalex.org/W2740589650","https://openalex.org/W2800369870","https://openalex.org/W2887731362","https://openalex.org/W2906931820","https://openalex.org/W2911964244","https://openalex.org/W2912119603","https://openalex.org/W2962774266","https://openalex.org/W2963551774","https://openalex.org/W3106312933","https://openalex.org/W4285719527","https://openalex.org/W4289236838","https://openalex.org/W6609126827","https://openalex.org/W6675354045","https://openalex.org/W6675896010","https://openalex.org/W6688609234","https://openalex.org/W6741613141"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489","https://openalex.org/W3214037210"],"abstract_inverted_index":{"With":[0],"continuous":[1],"monitoring":[2],"and":[3,56,159,167,188,193,230],"sensing,":[4],"millions":[5],"of":[6,8,18,98,106,142,182,221],"Internet":[7],"Things":[9],"sensors":[10],"all":[11,36],"over":[12],"the":[13,30,37,42,53,62,67,81,89,103,114,128,139,170,197,208],"world":[14],"generate":[15],"tremendous":[16],"amounts":[17],"data":[19,39,51,60,174],"every":[20],"minute.":[21],"As":[22],"a":[23,86,95],"result,":[24],"recent":[25],"studies":[26],"start":[27],"to":[28,34,41,48,61,79,136,202],"raise":[29],"question":[31],"as":[32,74,145,147,225],"whether":[33],"send":[35,58],"sensing":[38],"directly":[40],"cloud":[43,63,150],"(i.e.,":[44,64],"direct":[45],"transmission),":[46],"or":[47],"preprocess":[49],"such":[50,85,224],"at":[52,66],"network":[54],"edge":[55,76,115,171,198],"only":[57,94],"necessary":[59],"preprocessing":[65],"edge).":[68],"Anomaly":[69],"detection":[70,111,131],"is":[71],"particularly":[72],"useful":[73],"an":[75],"mining":[77],"technique":[78],"reduce":[80,138],"transmission":[82,143],"overhead":[83,187],"in":[84,116,180,190],"context":[87],"when":[88],"frequently":[90],"monitored":[91],"activities":[92],"contain":[93],"sparse":[96],"set":[97],"anomalies.":[99],"This":[100],"paper":[101],"analyzes":[102],"potential":[104,216],"overhead-savings":[105],"machine":[107],"learning":[108],"based":[109],"anomaly":[110,130],"models":[112,162],"on":[113,169,196],"three":[117],"different":[118,209],"IoT":[119,210],"scenarios.":[120],"Our":[121],"experimental":[122],"results":[123,189,206],"prove":[124,153],"that":[125,154],"by":[126],"choosing":[127],"appropriate":[129],"models,":[132],"we":[133,212],"are":[134],"able":[135],"effectively":[137],"total":[140],"amount":[141],"energy":[144,168,194],"well":[146],"minimize":[148],"required":[149],"storage.":[151],"We":[152],"Random":[155],"Forest,":[156],"Multilayer":[157],"Perceptron,":[158],"Discriminant":[160],"Analysis":[161],"can":[163],"viably":[164],"save":[165],"time":[166,192],"device":[172],"during":[173],"transmission.":[175],"K-Nearest":[176],"Neighbors,":[177],"although":[178],"reliable":[179],"terms":[181],"prediction":[183,228],"accuracy,":[184],"demands":[185],"exorbitant":[186],"net":[191],"loss":[195],"device.":[199],"In":[200],"addition":[201],"presenting":[203],"our":[204],"model":[205,217],"for":[207,215],"scenarios,":[211],"provide":[213],"guidelines":[214],"selections":[218],"through":[219],"analysis":[220],"involved":[222],"tradeoffs":[223],"training":[226],"overhead,":[227,229],"classification":[231],"accuracy.":[232]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}