{"id":"https://openalex.org/W2561262035","doi":"https://doi.org/10.1109/softcom.2016.7772168","title":"One class outlier detection method in wireless sensor networks: Comparative study","display_name":"One class outlier detection method in wireless sensor networks: Comparative study","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2561262035","doi":"https://doi.org/10.1109/softcom.2016.7772168","mag":"2561262035"},"language":"en","primary_location":{"id":"doi:10.1109/softcom.2016.7772168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/softcom.2016.7772168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","raw_type":"proceedings-article"},"type":"preprint","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/A5079404883","display_name":"Oussama Ghorbel","orcid":"https://orcid.org/0000-0003-4182-4914"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I4210119561","display_name":"Digital Research Centre of Sfax","ror":"https://ror.org/02s48dm85","country_code":"TN","type":"facility","lineage":["https://openalex.org/I4210119561"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Oussama Ghorbel","raw_affiliation_strings":["Tunisia King Abdulaziz City for Science and Technology, KSA Digital Research Center (CRNS), Tunisia","Universit\u00e9 de Sfax - University of Sfax (Route de l'A\u00e9roport Km 0.5 - BP 1169 .3029 Sfax - Tunisia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tunisia King Abdulaziz City for Science and Technology, KSA Digital Research Center (CRNS), Tunisia","institution_ids":["https://openalex.org/I4210119561"]},{"raw_affiliation_string":"Universit\u00e9 de Sfax - University of Sfax (Route de l'A\u00e9roport Km 0.5 - BP 1169 .3029 Sfax - Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109086263","display_name":"Abdulfattah M. Obeid","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I4210119561","display_name":"Digital Research Centre of Sfax","ror":"https://ror.org/02s48dm85","country_code":"TN","type":"facility","lineage":["https://openalex.org/I4210119561"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Abdulfattah M. Obeid","raw_affiliation_strings":["Tunisia King Abdulaziz City for Science and Technology, KSA Digital Research Center (CRNS), Tunisia","Universit\u00e9 de Sfax - University of Sfax (Route de l'A\u00e9roport Km 0.5 - BP 1169 .3029 Sfax - Tunisia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tunisia King Abdulaziz City for Science and Technology, KSA Digital Research Center (CRNS), Tunisia","institution_ids":["https://openalex.org/I4210119561"]},{"raw_affiliation_string":"Universit\u00e9 de Sfax - University of Sfax (Route de l'A\u00e9roport Km 0.5 - BP 1169 .3029 Sfax - Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026522015","display_name":"Mohamed Abid","orcid":"https://orcid.org/0000-0001-7409-292X"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Abid","raw_affiliation_strings":["LM2S Research Unit National Engineers, Tunisia University of Technology of Troyes, France","LM2S - Laboratoire Mod\u00e9lisation et S\u00fbret\u00e9 des Syst\u00e8mes (UTT - 12, rue Marie Curie - BP 2060 - 10010 TROYES CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LM2S Research Unit National Engineers, Tunisia University of Technology of Troyes, France","institution_ids":["https://openalex.org/I140494188"]},{"raw_affiliation_string":"LM2S - Laboratoire Mod\u00e9lisation et S\u00fbret\u00e9 des Syst\u00e8mes (UTT - 12, rue Marie Curie - BP 2060 - 10010 TROYES CEDEX - France)","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066400774","display_name":"Hichem Snoussi","orcid":"https://orcid.org/0000-0002-6563-2135"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hichem Snoussi","raw_affiliation_strings":["Universite de Sfax, Sfax, TN","LM2S - Laboratoire Mod\u00e9lisation et S\u00fbret\u00e9 des Syst\u00e8mes (UTT - 12, rue Marie Curie - BP 2060 - 10010 TROYES CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite de Sfax, Sfax, TN","institution_ids":[]},{"raw_affiliation_string":"LM2S - Laboratoire Mod\u00e9lisation et S\u00fbret\u00e9 des Syst\u00e8mes (UTT - 12, rue Marie Curie - BP 2060 - 10010 TROYES CEDEX - France)","institution_ids":["https://openalex.org/I140494188"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.866,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8485749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"8"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.8458114862442017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7512348890304565},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7257976531982422},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7208991050720215},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.6342110633850098},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5709762573242188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49420884251594543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47969743609428406},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4627857804298401},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.42916372418403625},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3800727128982544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37818771600723267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35262858867645264},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3363078832626343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10301357507705688},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10221493244171143}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.8458114862442017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7512348890304565},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7257976531982422},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7208991050720215},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.6342110633850098},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5709762573242188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49420884251594543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47969743609428406},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4627857804298401},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.42916372418403625},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3800727128982544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37818771600723267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35262858867645264},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3363078832626343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10301357507705688},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10221493244171143},{"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:10.1109/softcom.2016.7772168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/softcom.2016.7772168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03320742v1","is_oa":false,"landing_page_url":"https://utt.hal.science/hal-03320742","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Sep 2016, Split, Croatia. pp.1-8, &#x27E8;10.1109/SOFTCOM.2016.7772168&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1534308464","https://openalex.org/W1571401318","https://openalex.org/W1587559447","https://openalex.org/W1969158915","https://openalex.org/W1972832829","https://openalex.org/W1975690923","https://openalex.org/W1986982173","https://openalex.org/W1992380169","https://openalex.org/W1994505190","https://openalex.org/W2004292694","https://openalex.org/W2017588182","https://openalex.org/W2020082531","https://openalex.org/W2030927677","https://openalex.org/W2052704326","https://openalex.org/W2068193536","https://openalex.org/W2085942561","https://openalex.org/W2099695316","https://openalex.org/W2103914106","https://openalex.org/W2122035570","https://openalex.org/W2122053769","https://openalex.org/W2123033018","https://openalex.org/W2127543052","https://openalex.org/W2140095548","https://openalex.org/W2140987300","https://openalex.org/W2142231140","https://openalex.org/W2156209126","https://openalex.org/W2158413235","https://openalex.org/W2166928102","https://openalex.org/W2486415836","https://openalex.org/W2494541305","https://openalex.org/W4313169793","https://openalex.org/W6632049316","https://openalex.org/W6683645957"],"related_works":["https://openalex.org/W4386482528","https://openalex.org/W2499612753","https://openalex.org/W3182289794","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W2576659527","https://openalex.org/W1984421104","https://openalex.org/W2512565647"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,83,117,207,253,256],"communication":[3,34],"technology":[4],"have":[5,168,173],"enable":[6],"the":[7,56,71,78,125,163,201,204,208,248,263],"emergency":[8],"of":[9,12,21,25,53,162,203,221,226],"new":[10,191],"types":[11],"wireless":[13,118,257],"networks:":[14],"Wireless":[15],"Sensor":[16],"Networks":[17],"(WSN).":[18],"It":[19],"consists":[20],"a":[22,41,50,84,95,130,190],"huge":[23],"number":[24],"tiny":[26],"and":[27,33,48,58,100,172],"low":[28],"cost":[29],"devices":[30],"with":[31],"sensing":[32],"capabilities.":[35],"They":[36],"are":[37,67,244],"emerging":[38],"recently":[39],"as":[40,139,189],"key":[42],"solution":[43],"to":[44,61,128,136,198,262],"monitor":[45],"remote":[46],"environments":[47],"concern":[49],"wide":[51],"range":[52],"applications":[54],"from":[55,218,241],"environmental":[57],"military":[59],"surveillance":[60],"home":[62],"automation.":[63],"However,":[64],"these":[65],"models":[66],"not":[68],"suitable":[69],"for":[70,87,114,151],"energy":[72],"constrained":[73],"WSNs":[74],"because":[75],"they":[76],"assumed":[77],"whole":[79],"data":[80,138,205,222,239],"is":[81],"available":[82],"central":[85],"location":[86],"further":[88],"analysis.":[89],"In":[90],"this":[91,123,178],"paper,":[92],"we":[93,180,213],"present":[94],"comparative":[96],"study":[97],"between":[98],"Centralised":[99,264],"Distributed":[101,227],"One-class":[102,228,265],"Outliers":[103,229,266],"Detection":[104,230,267],"Classifier":[105,231,268],"(COODC":[106],"&":[107],"DOODC)":[108],"based":[109,133,186,232],"on":[110,134,233,236],"Mahalanobis":[111,187,196,234],"Kernel":[112,144,182,235],"used":[113,150],"outlier":[115,192,216],"detection":[116,193],"sensor":[119,258],"networks":[120,259],"(WSNs).":[121],"For":[122],"case,":[124],"task":[126],"amounts":[127],"create":[129],"useful":[131],"model":[132],"KPCA":[135],"recognize":[137],"normal":[140,219],"or":[141],"outliers.":[142],"Recently,":[143],"Principal":[145,183],"component":[146],"analysis":[147],"(KPCA)":[148],"has":[149],"nonlinear":[152],"case":[153],"which":[154],"can":[155,214],"extract":[156],"higher":[157],"order":[158],"statistics.":[159],"On":[160],"account":[161],"attractive":[164],"capability,":[165],"KPCA-based":[166],"methods":[167],"been":[169],"extensively":[170],"investigated,":[171],"showed":[174],"excellent":[175],"performance.":[176],"Within":[177],"setting,":[179],"propose":[181],"Component":[184],"Analysis":[185],"kernel":[188],"method":[194,250],"using":[195],"distance":[197],"implicitly":[199],"calculate":[200],"mapping":[202],"points":[206,217],"feature":[209],"space":[210],"so":[211],"that":[212,247],"separate":[215],"pattern":[220],"distribution.":[223],"The":[224],"use":[225],"real":[237],"word":[238],"obtained":[240],"Intel":[242],"Berkeley":[243],"reported":[245],"showing":[246],"proposed":[249],"performs":[251],"better":[252],"finding":[254],"outliers":[255],"when":[260],"compared":[261],"(COODC).":[269]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
