{"id":"https://openalex.org/W2001546323","doi":"https://doi.org/10.1145/2069000.2069019","title":"Outlier detection using na\u00efve bayes in wireless ad hoc networks","display_name":"Outlier detection using na\u00efve bayes in wireless ad hoc networks","publication_year":2011,"publication_date":"2011-11-04","ids":{"openalex":"https://openalex.org/W2001546323","doi":"https://doi.org/10.1145/2069000.2069019","mag":"2001546323"},"language":"en","primary_location":{"id":"doi:10.1145/2069000.2069019","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2069000.2069019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications","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/A5103578465","display_name":"Yonglin Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yonglin Ren","raw_affiliation_strings":["University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056884284","display_name":"Richard W. Pazzi","orcid":"https://orcid.org/0000-0003-4308-6265"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Richard W.N. Pazzi","raw_affiliation_strings":["University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012195474","display_name":"Azzedine Boukerche","orcid":"https://orcid.org/0000-0002-3851-9938"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Azzedine Boukerche","raw_affiliation_strings":["University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08606262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9991999864578247,"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":0.9990000128746033,"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":0.795371413230896},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.7146081924438477},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6153465509414673},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.580768883228302},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5530402064323425},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5402898192405701},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4912335276603699},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.48996129631996155},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4754566550254822},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.4746169149875641},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4712679088115692},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.46991148591041565},{"id":"https://openalex.org/keywords/mobile-ad-hoc-network","display_name":"Mobile ad hoc network","score":0.4515300989151001},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44785693287849426},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43313854932785034},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39297980070114136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23880407214164734},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1458631157875061},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.09075665473937988},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08741530776023865},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.08346289396286011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795371413230896},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.7146081924438477},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6153465509414673},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.580768883228302},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5530402064323425},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5402898192405701},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4912335276603699},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.48996129631996155},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4754566550254822},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.4746169149875641},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4712679088115692},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.46991148591041565},{"id":"https://openalex.org/C91280400","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Mobile ad hoc network","level":3,"score":0.4515300989151001},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44785693287849426},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43313854932785034},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39297980070114136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23880407214164734},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1458631157875061},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09075665473937988},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08741530776023865},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.08346289396286011},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2069000.2069019","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2069000.2069019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2040049980","https://openalex.org/W2053034494","https://openalex.org/W2062187478","https://openalex.org/W2096710126","https://openalex.org/W2111819951","https://openalex.org/W2114626888","https://openalex.org/W2118844107","https://openalex.org/W2119159008","https://openalex.org/W2158171519","https://openalex.org/W2161166082","https://openalex.org/W2163535012","https://openalex.org/W2612975136","https://openalex.org/W2747485148","https://openalex.org/W3142190639"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W2537862391","https://openalex.org/W2417174640"],"abstract_inverted_index":{"Nowadays,":[0],"security":[1,130],"is":[2,23,57,94,102],"one":[3],"of":[4,41,69,79,86,108],"the":[5,39,77,84,106,118,129,135],"most":[6],"significant":[7],"concerns":[8],"when":[9,44],"constructing":[10],"a":[11,17,34,60],"flexible":[12],"and":[13,28,125,141],"improvisational":[14],"network.":[15],"For":[16],"wireless":[18],"ad":[19],"hoc":[20],"network,":[21],"which":[22,101],"exposed":[24],"to":[25,46,65,104],"an":[26,90],"open":[27],"cooperative":[29],"environment,":[30],"its":[31],"vulnerability":[32],"needs":[33],"more":[35,139],"effective":[36],"protection":[37],"for":[38,83,143],"validation":[40],"information":[42,110],"sharing,":[43],"compared":[45],"traditional":[47],"networks.":[48,145],"At":[49],"present,":[50],"trust":[51,87,109],"gains":[52],"extensive":[53],"attention":[54],"as":[55,59],"it":[56],"regarded":[58],"well-known":[61],"distributed":[62,144],"management":[63],"method":[64],"perceive":[66],"abnormal":[67],"behavior":[68],"other":[70,113],"nodes.":[71,115],"In":[72],"this":[73],"paper,":[74],"we":[75],"emphasize":[76],"importance":[78],"node":[80],"cooperation,":[81],"especially":[82],"sharing":[85],"information.":[88],"Thereby,":[89],"outlier":[91,137],"detection":[92,138],"scheme":[93,119],"presented":[95],"based":[96,120],"on":[97,121],"Na\u00efve":[98,132],"Bayes":[99,133],"algorithm,":[100],"used":[103],"predict":[105],"reliability":[107],"provided":[111],"by":[112],"adjacent":[114],"We":[116],"examine":[117],"our":[122],"design":[123],"criteria":[124],"attack":[126],"models.":[127],"Through":[128],"analysis,":[131],"makes":[134],"trust-based":[136],"suitable":[140],"reliable":[142]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
