{"id":"https://openalex.org/W2807611803","doi":"https://doi.org/10.1145/3217804.3217919","title":"Automatic Detection of Cyber Security Related Accounts on Online Social Networks","display_name":"Automatic Detection of Cyber Security Related Accounts on Online Social Networks","publication_year":2018,"publication_date":"2018-07-17","ids":{"openalex":"https://openalex.org/W2807611803","doi":"https://doi.org/10.1145/3217804.3217919","mag":"2807611803"},"language":"en","primary_location":{"id":"doi:10.1145/3217804.3217919","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3217804.3217919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Social Media and Society","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/A5049708294","display_name":"Cagri Burak Aslan","orcid":"https://orcid.org/0000-0003-0507-3922"},"institutions":[{"id":"https://openalex.org/I4210150808","display_name":"Ankara Y\u0131ld\u0131r\u0131m Beyaz\u0131t University","ror":"https://ror.org/05ryemn72","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210150808"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u00c7a\u011fr\u0131 B. Aslan","raw_affiliation_strings":["Ankara Yildirim Beyazit University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ankara Yildirim Beyazit University, Ankara, Turkey","institution_ids":["https://openalex.org/I4210150808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024847271","display_name":"Rahime Belen Sa\u011flam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150808","display_name":"Ankara Y\u0131ld\u0131r\u0131m Beyaz\u0131t University","ror":"https://ror.org/05ryemn72","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210150808"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Rahime Belen Sa\u011flam","raw_affiliation_strings":["Ankara Yildirim Beyazit University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ankara Yildirim Beyazit University, Ankara, Turkey","institution_ids":["https://openalex.org/I4210150808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100745576","display_name":"Shujun Li","orcid":"https://orcid.org/0000-0001-5628-7328"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shujun Li","raw_affiliation_strings":["University of Kent, Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.581,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96871585,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9990000128746033,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.998199999332428,"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/random-forest","display_name":"Random forest","score":0.7688287496566772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428752183914185},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6673794984817505},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6545968055725098},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6207495927810669},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.596825122833252},{"id":"https://openalex.org/keywords/cyber-crime","display_name":"Cyber crime","score":0.5081119537353516},{"id":"https://openalex.org/keywords/cyber-attack","display_name":"Cyber-attack","score":0.47320789098739624},{"id":"https://openalex.org/keywords/cybercrime","display_name":"Cybercrime","score":0.4589174687862396},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4585956633090973},{"id":"https://openalex.org/keywords/information-security","display_name":"Information security","score":0.44219493865966797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3654463291168213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3309987187385559},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17622995376586914},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.10471838712692261},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.07934167981147766}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7688287496566772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428752183914185},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6673794984817505},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6545968055725098},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6207495927810669},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.596825122833252},{"id":"https://openalex.org/C2989129637","wikidata":"https://www.wikidata.org/wiki/Q29137","display_name":"Cyber crime","level":3,"score":0.5081119537353516},{"id":"https://openalex.org/C201307755","wikidata":"https://www.wikidata.org/wiki/Q4071928","display_name":"Cyber-attack","level":2,"score":0.47320789098739624},{"id":"https://openalex.org/C2779390178","wikidata":"https://www.wikidata.org/wiki/Q29137","display_name":"Cybercrime","level":3,"score":0.4589174687862396},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4585956633090973},{"id":"https://openalex.org/C527648132","wikidata":"https://www.wikidata.org/wiki/Q189900","display_name":"Information security","level":2,"score":0.44219493865966797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3654463291168213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3309987187385559},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17622995376586914},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.10471838712692261},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.07934167981147766},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3217804.3217919","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3217804.3217919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Social Media and Society","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:66861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3217804.3217919>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5381240138","display_name":null,"funder_award_id":"EP/P011896/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W9223698","https://openalex.org/W1929765742","https://openalex.org/W1986678144","https://openalex.org/W1996802155","https://openalex.org/W2013416264","https://openalex.org/W2049449085","https://openalex.org/W2123661878","https://openalex.org/W2139188905","https://openalex.org/W2477560686","https://openalex.org/W2765788477","https://openalex.org/W2788264489","https://openalex.org/W2997591727"],"related_works":["https://openalex.org/W3006110715","https://openalex.org/W4312338404","https://openalex.org/W3090832836","https://openalex.org/W3000838006","https://openalex.org/W2490674191","https://openalex.org/W3194832539","https://openalex.org/W2887484659","https://openalex.org/W2613797116","https://openalex.org/W4231455457","https://openalex.org/W3013574401"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2],"revealed":[3],"that":[4,141],"cyber":[5,12,35,53,70,73,79,88,108],"criminals":[6,71],"tend":[7],"to":[8,47,86],"exchange":[9],"knowledge":[10,50],"about":[11,34,51],"attacks":[13,54],"in":[14,45],"online":[15],"social":[16],"networks":[17],"(OSNs).":[18],"Cyber":[19],"security":[20,36,74,89,109],"experts":[21],"are":[22],"another":[23],"set":[24],"of":[25,69,77,107],"information":[26,33],"providers":[27],"on":[28,92,104,112],"OSNs":[29,93,113],"who":[30],"frequently":[31],"share":[32],"incidents":[37],"and":[38,42,55,72,95,127,133,145,157],"their":[39,97],"personal":[40],"opinions":[41],"analyses.":[43],"Therefore,":[44],"order":[46],"improve":[48],"our":[49,102],"evolving":[52],"the":[56,166],"underlying":[57],"human":[58],"behavior":[59],"for":[60],"different":[61],"purposes":[62],"(e.g.,":[63],"crime":[64],"investigation,":[65],"understanding":[66],"career":[67],"development":[68],"professionals,":[75],"detection":[76,106],"impeding":[78],"attacks),":[80],"it":[81],"will":[82],"be":[83],"very":[84],"useful":[85],"detect":[87],"related":[90,110],"accounts":[91,111],"automatically,":[94],"monitor":[96],"activities.":[98],"This":[99],"paper":[100],"reports":[101],"preliminarywork":[103],"automatic":[105],"using":[114],"Twitter":[115],"as":[116,170,172],"an":[117,152],"example.":[118],"Three":[119],"machine":[120],"learning":[121],"based":[122],"classification":[123],"algorithms":[124],"were":[125,161],"applied":[126],"compared:":[128],"decision":[129,143],"trees,":[130],"random":[131,146,159],"forests,":[132],"SVM":[134],"(support":[135],"vector":[136],"machines).":[137],"Experimental":[138],"results":[139],"showed":[140],"both":[142],"trees":[144],"forests":[147,160],"had":[148,168],"performed":[149],"well":[150],"with":[151,163],"overall":[153],"accuracy":[154,167],"over":[155],"95%,":[156],"when":[158],"used":[162],"behavioral":[164],"features":[165],"reached":[169],"high":[171],"97.877%.":[173]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2018-06-13T00:00:00"}
