{"id":"https://openalex.org/W4226078906","doi":"https://doi.org/10.1145/3508072.3508113","title":"Device-Type Profiling for Network Access Control Systems using Clustering-Based Multivariate Gaussian Outlier Score","display_name":"Device-Type Profiling for Network Access Control Systems using Clustering-Based Multivariate Gaussian Outlier Score","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4226078906","doi":"https://doi.org/10.1145/3508072.3508113"},"language":"en","primary_location":{"id":"doi:10.1145/3508072.3508113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508072.3508113","pdf_url":null,"source":{"id":"https://openalex.org/S4363608372","display_name":"The 5th International Conference on Future Networks & Distributed Systems","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":"The 5th International Conference on Future Networks & Distributed Systems","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/A5005040911","display_name":"Musa Abubakar Muhammad","orcid":null},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Musa Muhammad","raw_affiliation_strings":["CUSC, Coventry University, UK"],"affiliations":[{"raw_affiliation_string":"CUSC, Coventry University, UK","institution_ids":["https://openalex.org/I73417466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075173481","display_name":"Uchenna Ani","orcid":"https://orcid.org/0000-0001-6064-480X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Uchenna Daniel Ani","raw_affiliation_strings":["University College London, UK"],"affiliations":[{"raw_affiliation_string":"University College London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070722608","display_name":"Aminu Aliyu Abdullahi","orcid":null},"institutions":[{"id":"https://openalex.org/I4387156178","display_name":"Federal University Dutse","ror":"https://ror.org/0278jft56","country_code":null,"type":"education","lineage":["https://openalex.org/I4387156178"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Aminu Aliyu Abdullahi","raw_affiliation_strings":["Federal University Dutse, Nigeria"],"affiliations":[{"raw_affiliation_string":"Federal University Dutse, Nigeria","institution_ids":["https://openalex.org/I4387156178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078566421","display_name":"Petar Radanliev","orcid":"https://orcid.org/0000-0001-5629-6857"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Petar Radanliev","raw_affiliation_strings":["University of Oxford, UK"],"affiliations":[{"raw_affiliation_string":"University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005040911"],"corresponding_institution_ids":["https://openalex.org/I73417466"],"apc_list":null,"apc_paid":null,"fwci":1.848,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86389649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"270","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9991999864578247,"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/insider-threat","display_name":"Insider threat","score":0.8912663459777832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7659580707550049},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.7328513860702515},{"id":"https://openalex.org/keywords/access-control","display_name":"Access control","score":0.5984918475151062},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5893990397453308},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5604091286659241},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5584250688552856},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.5365016460418701},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5028368830680847},{"id":"https://openalex.org/keywords/insider","display_name":"Insider","score":0.4996306896209717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42911607027053833},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4275171756744385},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37741944193840027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24901771545410156}],"concepts":[{"id":"https://openalex.org/C2776633304","wikidata":"https://www.wikidata.org/wiki/Q6038026","display_name":"Insider threat","level":3,"score":0.8912663459777832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659580707550049},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7328513860702515},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.5984918475151062},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5893990397453308},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5604091286659241},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5584250688552856},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.5365016460418701},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5028368830680847},{"id":"https://openalex.org/C2778971194","wikidata":"https://www.wikidata.org/wiki/Q1664551","display_name":"Insider","level":2,"score":0.4996306896209717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42911607027053833},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4275171756744385},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37741944193840027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24901771545410156},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508072.3508113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508072.3508113","pdf_url":null,"source":{"id":"https://openalex.org/S4363608372","display_name":"The 5th International Conference on Future Networks & Distributed Systems","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":"The 5th International Conference on Future Networks & Distributed Systems","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":19,"referenced_works":["https://openalex.org/W145761015","https://openalex.org/W303664231","https://openalex.org/W1418477825","https://openalex.org/W1854988265","https://openalex.org/W1969109761","https://openalex.org/W2085581002","https://openalex.org/W2107515295","https://openalex.org/W2109908684","https://openalex.org/W2135514714","https://openalex.org/W2143625384","https://openalex.org/W2219888801","https://openalex.org/W2337344967","https://openalex.org/W2501734189","https://openalex.org/W2542811706","https://openalex.org/W2752101410","https://openalex.org/W2792471193","https://openalex.org/W2895909303","https://openalex.org/W2972123747","https://openalex.org/W2991053005"],"related_works":["https://openalex.org/W2766781562","https://openalex.org/W4205304595","https://openalex.org/W2979782961","https://openalex.org/W308359497","https://openalex.org/W1499596878","https://openalex.org/W3136170567","https://openalex.org/W2947769183","https://openalex.org/W4387194049","https://openalex.org/W2018332730","https://openalex.org/W2063508592"],"abstract_inverted_index":{"Behaviour":[0],"profiling":[1,131],"is":[2,113],"used":[3,19],"in":[4,26,60,99,184],"organisations":[5],"to":[6,20,31,80,115,158,180],"identify":[7],"the":[8,78,82,174,177],"working":[9],"patterns":[10,23,140,168],"of":[11,24,41,86,119,141,146,176],"agents:":[12],"humans":[13],"or":[14],"devices.":[15],"It":[16],"can":[17,76,89,104],"be":[18],"detect":[21],"abnormal":[22,147,165],"devices":[25,88,142],"an":[27],"organisation\u2019s":[28],"BYOD":[29,37],"network":[30,34,93],"help":[32],"control":[33,57,95,195],"access.":[35],"Although":[36],"offers":[38],"great":[39],"benefits":[40],"improving":[42],"productivity":[43],"and":[44,69,103,109,161,164,186,192],"job":[45],"satisfaction":[46],"while":[47],"reducing":[48],"cost,":[49],"it":[50,112],"bears":[51],"some":[52],"security":[53],"issues":[54],"around":[55],"access":[56,74,94,194],"with":[58,72],"limitations":[59],"addressing":[61,100],"insider":[62,101,121,188],"threat":[63,133],"scenarios.":[64],"This":[65,172],"means":[66],"that":[67,91],"motivated":[68],"determined":[70],"attackers":[71],"valid":[73],"credentials":[75],"exploit":[77],"weaknesses":[79],"compromise":[81],"system.":[83],"The":[84],"limitation":[85],"mobile":[87],"mean":[90],"traditional":[92],"mechanism":[96],"are":[97],"ineffective":[98],"threats,":[102],"impact":[105],"on":[106],"device":[107,125],"capacity":[108],"functionality.":[110],"Thus,":[111],"crucial":[114],"explore":[116],"other":[117],"ways":[118],"identifying":[120],"threats":[122,189],"from":[123],"anomalous":[124],"behaviours.":[126],"We":[127],"propose":[128],"a":[129],"device-type":[130],"for":[132,143,190],"detection":[134],"which":[135],"uses":[136],"packet":[137],"inter-arrival":[138,166],"time":[139,167],"automatic":[144],"identification":[145],"device-types.":[148],"Experimental":[149],"tests":[150],"using":[151],"clustering-based":[152],"multivariate":[153],"gaussian":[154],"outlier":[155],"score":[156],"(CMGOS)":[157],"clearly":[159],"distinguish":[160],"label":[162],"normal":[163],"yielded":[169],"promising":[170],"results.":[171],"affirms":[173],"effectiveness":[175],"proposed":[178],"approach":[179],"support":[181],"system":[182],"administrators":[183],"monitoring":[185],"detecting":[187],"timely":[191],"effective":[193],"response.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}