{"id":"https://openalex.org/W2604811566","doi":"https://doi.org/10.1504/ijbic.2017.10004416","title":"A Meta-heuristic Learning Approach for the Non-Intrusive Detection of Impersonation Attacks in Social Networks","display_name":"A Meta-heuristic Learning Approach for the Non-Intrusive Detection of Impersonation Attacks in Social Networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2604811566","doi":"https://doi.org/10.1504/ijbic.2017.10004416","mag":"2604811566"},"language":"en","primary_location":{"id":"doi:10.1504/ijbic.2017.10004416","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijbic.2017.10004416","pdf_url":null,"source":{"id":"https://openalex.org/S121342672","display_name":"International Journal of Bio-Inspired Computation","issn_l":"1758-0366","issn":["1758-0366","1758-0374"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Bio-Inspired Computation","raw_type":"journal-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/A5110273823","display_name":"Sancho Salcedo Sanz","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Sancho Salcedo Sanz","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad de Alcal\u00e1, 28871 Alcal\u00e1 de Henares, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad de Alcal\u00e1, 28871 Alcal\u00e1 de Henares, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079997651","display_name":"Miren Nekane Bilbao","orcid":"https://orcid.org/0000-0002-0519-8728"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miren Nekane Bilbao","raw_affiliation_strings":["Department of Communications Engineering, University of the Basque Country UPV/EHU, 48013 Bilbao, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of the Basque Country UPV/EHU, 48013 Bilbao, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103745001","display_name":"Sergio Gil Lopez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergio Gil Lopez","raw_affiliation_strings":["OPTIMA Area, TECNALIA, 48170 Zamudio, Spain"],"affiliations":[{"raw_affiliation_string":"OPTIMA Area, TECNALIA, 48170 Zamudio, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068667090","display_name":"Esther Villar-Rodr\u00edguez","orcid":"https://orcid.org/0000-0003-3343-3737"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Esther Villar Rodriguez","raw_affiliation_strings":["OPTIMA Area, TECNALIA, 48170 Zamudio, Spain"],"affiliations":[{"raw_affiliation_string":"OPTIMA Area, TECNALIA, 48170 Zamudio, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017326471","display_name":"Javier Del Ser","orcid":"https://orcid.org/0000-0002-1260-9775"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Del Ser","raw_affiliation_strings":["OPTIMA Area, TECNALIA, 48170 Zamudio, Spain"],"affiliations":[{"raw_affiliation_string":"OPTIMA Area, TECNALIA, 48170 Zamudio, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110273823"],"corresponding_institution_ids":["https://openalex.org/I189268942"],"apc_list":null,"apc_paid":null,"fwci":0.2072,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.533604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":"4","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9987999796867371,"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":0.9987999796867371,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7387316823005676},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7285606861114502},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6235277652740479},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5485051274299622},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5314335823059082},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5271332263946533},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.47313040494918823},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4326532185077667},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.41429057717323303},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34372544288635254},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3043586015701294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3023196756839752},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2985840439796448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2665227949619293},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08029597997665405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7387316823005676},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7285606861114502},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6235277652740479},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5485051274299622},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5314335823059082},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5271332263946533},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.47313040494918823},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4326532185077667},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.41429057717323303},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34372544288635254},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3043586015701294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3023196756839752},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2985840439796448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2665227949619293},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08029597997665405},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.1504/ijbic.2017.10004416","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijbic.2017.10004416","pdf_url":null,"source":{"id":"https://openalex.org/S121342672","display_name":"International Journal of Bio-Inspired Computation","issn_l":"1758-0366","issn":["1758-0366","1758-0374"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Bio-Inspired Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W1534720161","https://openalex.org/W3158538495","https://openalex.org/W2804957450","https://openalex.org/W2087240539"],"abstract_inverted_index":{"Cyber":[0],"attacks":[1],"have":[2],"recently":[3],"gained":[4],"momentum":[5],"in":[6],"the":[7,18,52,82,109,124,133,146,149],"research":[8],"community":[9],"as":[10,62,81],"a":[11,25,76,86,115],"sharply":[12],"concerning":[13],"phenomenon":[14],"further":[15],"ignited":[16],"by":[17],"proliferation":[19],"of":[20,27,35,51,70,85,100,117,126,148],"social":[21,71,158],"networks,":[22],"which":[23,128],"unfold":[24],"variety":[26],"ways":[28],"for":[29,152],"cybercriminals":[30],"to":[31,58,97,114,122,132,156],"access":[32,57],"compromised":[33],"information":[34,59],"their":[36],"users.":[37],"This":[38,73],"paper":[39],"gravitates":[40],"on":[41,93,108,145],"impersonation":[42,102],"attacks,":[43],"whose":[44],"motivation":[45],"may":[46],"go":[47],"beyond":[48],"economic":[49],"interests":[50],"attacker":[53],"towards":[54],"getting":[55],"unauthorised":[56],"and":[60,67],"contacts,":[61],"often":[63],"occurs":[64],"between":[65],"teenagers":[66],"early":[68],"users":[69],"platforms.":[72],"manuscript":[74],"proposes":[75],"meta-heuristically":[77],"optimised":[78],"learning":[79],"model":[80],"algorithmic":[83],"core":[84],"non-intrusive":[87],"detection":[88,136],"system":[89],"that":[90],"relies":[91],"exclusively":[92],"connection":[94],"time":[95,118],"features":[96,119],"detect":[98],"evidences":[99],"an":[101],"attack.":[103],"The":[104,140],"proposed":[105,150],"scheme":[106],"hinges":[107],"K-Means":[110],"clustering":[111,134],"approach":[112],"applied":[113],"set":[116],"specially":[120],"tailored":[121],"characterise":[123],"usage":[125],"users,":[127],"are":[129],"weighted":[130],"prior":[131],"under":[135],"performance":[137],"maximisation":[138],"criteria.":[139],"obtained":[141],"results":[142],"shed":[143],"light":[144],"potentiality":[147],"methodology":[151],"its":[153],"practical":[154],"application":[155],"real":[157],"networks.":[159]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
