{"id":"https://openalex.org/W2750623459","doi":"https://doi.org/10.1145/3093241.3093280","title":"Hybrid Text-based Deception Models for Native and Non-Native English Cybercriminal Networks","display_name":"Hybrid Text-based Deception Models for Native and Non-Native English Cybercriminal Networks","publication_year":2017,"publication_date":"2017-05-19","ids":{"openalex":"https://openalex.org/W2750623459","doi":"https://doi.org/10.1145/3093241.3093280","mag":"2750623459"},"language":"en","primary_location":{"id":"doi:10.1145/3093241.3093280","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","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/A5074868524","display_name":"Alex V. Mbaziira","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alex V. Mbaziira","raw_affiliation_strings":["George Mason University, Fairfax, VA"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023335669","display_name":"James H. Jones","orcid":"https://orcid.org/0000-0002-2184-9586"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James H. Jones","raw_affiliation_strings":["George Mason University, Fairfax, VA"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074868524"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61991435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"23","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9993000030517578,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9993000030517578,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9990000128746033,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9984999895095825,"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/cybercrime","display_name":"Cybercrime","score":0.8701860904693604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7987262606620789},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.6737151145935059},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6074239611625671},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5627508163452148},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.533161997795105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5138585567474365},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4037647545337677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37911123037338257},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33310478925704956},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21963700652122498}],"concepts":[{"id":"https://openalex.org/C2779390178","wikidata":"https://www.wikidata.org/wiki/Q29137","display_name":"Cybercrime","level":3,"score":0.8701860904693604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7987262606620789},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.6737151145935059},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6074239611625671},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5627508163452148},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.533161997795105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5138585567474365},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4037647545337677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37911123037338257},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33310478925704956},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21963700652122498},{"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3093241.3093280","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306098","display_name":"U.S. Department of Justice","ror":"https://ror.org/02916qm60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W976727318","https://openalex.org/W1488483520","https://openalex.org/W1517509400","https://openalex.org/W1565377632","https://openalex.org/W1607035479","https://openalex.org/W1979822054","https://openalex.org/W1986427413","https://openalex.org/W1996665163","https://openalex.org/W2034757259","https://openalex.org/W2054776631","https://openalex.org/W2090223790","https://openalex.org/W2091034860","https://openalex.org/W2106120499","https://openalex.org/W2119804197","https://openalex.org/W2140910804","https://openalex.org/W2153635508","https://openalex.org/W2160685721","https://openalex.org/W2161336914","https://openalex.org/W2251262990","https://openalex.org/W2251902376","https://openalex.org/W2401672198","https://openalex.org/W2949957935","https://openalex.org/W4211080143"],"related_works":["https://openalex.org/W2338899373","https://openalex.org/W199254545","https://openalex.org/W17155033","https://openalex.org/W2997836625","https://openalex.org/W4252285266","https://openalex.org/W4244102749","https://openalex.org/W111175386","https://openalex.org/W2476504758","https://openalex.org/W4248464163","https://openalex.org/W1937580673"],"abstract_inverted_index":{"Cybercriminals":[0],"are":[1,103,116,146,159],"increasingly":[2],"using":[3,89],"Internet":[4,29],"messaging":[5],"to":[6,19,119,138,162,188,228],"exploit":[7],"their":[8,241],"victims.":[9],"We":[10,51,67],"develop":[11],"and":[12,33,47,63,78,85,95,121,164,200,202,212,232],"apply":[13],"a":[14,168],"text-based":[15],"deception":[16],"detection":[17,196,207],"approach":[18],"build":[20,68],"hybrid":[21,73,87],"models":[22,41,74,88,102,145],"for":[23,75],"detecting":[24],"cybercrime":[25,110,126,153,166],"in":[26,111,127,154,167,208],"the":[27,135,143,176,182,192],"text":[28],"communications":[30],"from":[31,186,210],"native":[32,77,211],"non-native":[34,79,213],"English":[35,80,214],"speaking":[36,81,215],"cybercriminal":[37,82,230],"networks,":[38],"where":[39],"our":[40],"use":[42],"both":[43,76],"computational":[44],"linguistics":[45],"(CL)":[46],"psycholinguistic":[48],"(PL)":[49],"features.":[50],"study":[52],"four":[53],"types":[54,70,124],"of":[55,71,109,125,134,152,175,197],"deception-based":[56],"cybercrime:":[57],"fraud,":[58,201],"scam,":[59],"favorable":[60],"fake":[61,65],"reviews,":[62],"unfavorable":[64,198],"reviews.":[66],"two":[69,107],"generalized":[72],"networks:":[83],"2-dataset":[84,101],"3-dataset":[86,144],"Na\u00efve":[90],"Bayes,":[91],"Support":[92],"Vector":[93],"Machines,":[94],"kth":[96],"Nearest":[97],"Neighbor":[98],"algorithms.":[99],"All":[100],"trained":[104,147],"on":[105,148,181,195],"any":[106,149],"forms":[108,151],"different":[112,155],"web":[113,128,156,169],"genres,":[114,157],"which":[115],"then":[117],"used":[118,161],"detect":[120,163],"analyze":[122,165],"other":[123],"genres":[129],"that":[130,158,171],"were":[131],"not":[132,173],"part":[133,174],"training":[136,177],"set":[137],"establish":[139],"model":[140],"generalizability.":[141],"Similarly,":[142],"three":[150],"also":[160],"genre":[170],"was":[172],"set.":[178],"Model":[179],"performance":[180,194],"test":[183],"datasets":[184],"ranges":[185],"60%":[187],"80%":[189],"accuracy,":[190],"with":[191],"best":[193],"reviews":[199],"notable":[203],"differences":[204],"emerged":[205],"between":[206],"messages":[209,237],"groups.":[216],"Our":[217],"work":[218],"may":[219],"be":[220],"applied":[221],"as":[222],"provider-":[223],"or":[224,234],"user-based":[225],"filtering":[226],"tools":[227],"identify":[229],"actors":[231],"block":[233],"label":[235],"undesirable":[236],"before":[238],"they":[239],"reach":[240],"intended":[242],"targets.":[243]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
