{"id":"https://openalex.org/W2944054814","doi":"https://doi.org/10.23919/elinfocom.2019.8706466","title":"Outlier Detection Technique for IoT Sensor-Driven Big Data Systems","display_name":"Outlier Detection Technique for IoT Sensor-Driven Big Data Systems","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2944054814","doi":"https://doi.org/10.23919/elinfocom.2019.8706466","mag":"2944054814"},"language":"en","primary_location":{"id":"doi:10.23919/elinfocom.2019.8706466","is_oa":false,"landing_page_url":"https://doi.org/10.23919/elinfocom.2019.8706466","pdf_url":null,"source":{"id":"https://openalex.org/S4306498533","display_name":"2019 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":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082213434","display_name":"Sunho Seo","orcid":"https://orcid.org/0000-0003-0242-4336"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunho Seo","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069984917","display_name":"Jong\u2010Moon Chung","orcid":"https://orcid.org/0000-0002-1652-6635"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Moon Chung","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.328,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58461607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7466349005699158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7313061952590942},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6699772477149963},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6572138667106628},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5936925411224365},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3691102862358093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3210362195968628},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.21202117204666138}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7466349005699158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7313061952590942},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6699772477149963},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6572138667106628},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5936925411224365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3691102862358093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3210362195968628},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.21202117204666138}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/elinfocom.2019.8706466","is_oa":false,"landing_page_url":"https://doi.org/10.23919/elinfocom.2019.8706466","pdf_url":null,"source":{"id":"https://openalex.org/S4306498533","display_name":"2019 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":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2323435403","https://openalex.org/W2763488154","https://openalex.org/W2770448239","https://openalex.org/W2889734710"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"With":[0],"the":[1,9,71,78],"development":[2],"of":[3,11,16,32],"big":[4,90],"data":[5,13,91],"analysis":[6],"technologies":[7],"and":[8,19,28,46],"utilization":[10],"sensor":[12,21,36,79,84],"through":[14],"Internet":[15],"Things":[17],"(IoT)":[18],"wireless":[20],"networks":[22],"(WSNs),":[23],"users":[24],"can":[25,38],"easily":[26],"analyze":[27],"use":[29],"huge":[30],"amounts":[31],"data.":[33],"However,":[34],"occasional":[35],"errors":[37],"lead":[39],"to":[40,55,58,69,83],"failures":[41],"in":[42,64,89],"maintaining":[43],"optimum":[44],"conditions,":[45],"also":[47],"smart":[48],"systems":[49],"without":[50],"user":[51],"intervention":[52],"are":[53],"likely":[54],"be":[56],"vulnerable":[57],"intrusions":[59],"via":[60],"external":[61,87],"networks.":[62],"Therefore,":[63],"this":[65],"paper,":[66],"a":[67],"method":[68],"maintain":[70],"optimal":[72],"state":[73],"is":[74],"proposed":[75],"even":[76],"when":[77],"network":[80],"fails":[81],"due":[82],"failure":[85],"or":[86],"intrusion":[88],"systems.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
