{"id":"https://openalex.org/W3110924547","doi":"https://doi.org/10.1108/ics-07-2020-0113","title":"How social engineers use persuasion principles during vishing attacks","display_name":"How social engineers use persuasion principles during vishing attacks","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3110924547","doi":"https://doi.org/10.1108/ics-07-2020-0113","mag":"3110924547"},"language":"en","primary_location":{"id":"doi:10.1108/ics-07-2020-0113","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ics-07-2020-0113","pdf_url":null,"source":{"id":"https://openalex.org/S4210195545","display_name":"Information and Computer Security","issn_l":"2056-4961","issn":["2056-4961","2056-497X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information & Computer Security","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/A5102751548","display_name":"Keith S. Jones","orcid":"https://orcid.org/0000-0002-3463-0401"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keith S. Jones","raw_affiliation_strings":["Department of Psychological Sciences, Texas Tech University, Lubbock, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychological Sciences, Texas Tech University, Lubbock, Texas, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088343089","display_name":"Miriam Armstrong","orcid":"https://orcid.org/0000-0002-1485-220X"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miriam E. Armstrong","raw_affiliation_strings":["Department of Psychological Sciences, Texas Tech University, Lubbock, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychological Sciences, Texas Tech University, Lubbock, Texas, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060707245","display_name":"McKenna K. Tornblad","orcid":"https://orcid.org/0000-0003-1076-4461"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"McKenna K. Tornblad","raw_affiliation_strings":["Department of Psychological Sciences, Texas Tech University, Lubbock, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychological Sciences, Texas Tech University, Lubbock, Texas, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026464816","display_name":"Akbar Siami Namin","orcid":"https://orcid.org/0000-0002-1646-7495"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akbar Siami Namin","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, Texas, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6115,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96783852,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":"2","first_page":"314","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.996399998664856,"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/persuasion","display_name":"Persuasion","score":0.9784268736839294},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.6994158029556274},{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.6121882796287537},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.582042396068573},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.5797459483146667},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5398541688919067},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.5307970643043518},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5287415981292725},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46848785877227783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.289061576128006},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.2142094373703003},{"id":"https://openalex.org/keywords/creativity","display_name":"Creativity","score":0.12782859802246094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08783584833145142}],"concepts":[{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.9784268736839294},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.6994158029556274},{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.6121882796287537},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.582042396068573},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.5797459483146667},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5398541688919067},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.5307970643043518},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5287415981292725},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46848785877227783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.289061576128006},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2142094373703003},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.12782859802246094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08783584833145142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ics-07-2020-0113","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ics-07-2020-0113","pdf_url":null,"source":{"id":"https://openalex.org/S4210195545","display_name":"Information and Computer Security","issn_l":"2056-4961","issn":["2056-4961","2056-497X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information & Computer Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1883096928","https://openalex.org/W1955603680","https://openalex.org/W1978529064","https://openalex.org/W1993246901","https://openalex.org/W2006770362","https://openalex.org/W2063085086","https://openalex.org/W2083027292","https://openalex.org/W2140034113","https://openalex.org/W2210007502","https://openalex.org/W2324792924","https://openalex.org/W2510191132","https://openalex.org/W2519365219","https://openalex.org/W2766009576","https://openalex.org/W2770700229","https://openalex.org/W2905450671"],"related_works":["https://openalex.org/W2593155302","https://openalex.org/W2041415459","https://openalex.org/W3126095231","https://openalex.org/W2072812638","https://openalex.org/W2352855287","https://openalex.org/W2378906650","https://openalex.org/W2384288445","https://openalex.org/W2382526412","https://openalex.org/W4200071106","https://openalex.org/W2347474189"],"abstract_inverted_index":{"Purpose":[0],"This":[1],"study":[2,196],"aims":[3],"to":[4,34,57,179,200],"examine":[5],"how":[6,45,202,218],"social":[7,67,123,137,143,203,219],"engineers":[8,204,220],"use":[9,205],"persuasion":[10,37,62,78,92,113,160,174,206],"principles":[11,38,79,93,114,161,175,207],"during":[12,208],"vishing":[13,22,81,99,209,222,237,246],"attacks.":[14,210,238],"Design/methodology/approach":[15],"In":[16],"total,":[17],"86":[18],"examples":[19],"of":[20,53,60,98,112,159,171,192,236],"real-world":[21],"attacks":[23,223],"were":[24,39,47,73,145,162,185],"found":[25],"in":[26,41,80,95,164],"articles":[27],"and":[28,44,70,87,104,120,122,129,134,136,139,142,167,224,248],"videos.":[29],"Each":[30],"example":[31],"was":[32,151],"coded":[33],"determine":[35],"which":[36],"present":[40,240],"that":[42,153],"attack":[43,55],"they":[46],"implemented,":[48],"i.e.":[49],"what":[50],"specific":[51,169],"elements":[52],"the":[54,58,74,183,190,198,233],"contributed":[56],"presence":[59],"each":[61],"principle.":[63],"Findings":[64],"Authority":[65],"(A),":[66],"proof":[68],"(S)":[69],"distraction":[71,141],"(D)":[72],"most":[75],"widely":[76],"used":[77,146],"attacks,":[82,100],"followed":[83],"by":[84],"liking,":[85,118,132],"similarity":[86,133],"deception":[88,121],"(L).":[89],"These":[90],"four":[91],"occurred":[94],"a":[96,226],"majority":[97],"while":[101],"commitment,":[102,127],"reciprocation":[103],"consistency":[105],"(C)":[106],"did":[107],"not.":[108],"Further,":[109],"certain":[110,168,173],"sets":[111,158],"(i.e.":[115],"authority,":[116,126,140],"distraction,":[117,131],"similarity,":[119],"proof;":[124,138],",":[125],"reciprocation,":[128],"consistency,":[130],"deception,":[135],"proof)":[144],"more":[147],"than":[148],"others.":[149],"It":[150],"noteworthy":[152],"despite":[154],"their":[155],"similarities,":[156],"those":[157],"implemented":[163],"different":[165],"ways,":[166],"ways":[170],"implementing":[172],"(e.g.":[176],"vishers":[177],"claiming":[178],"have":[180,242],"authority":[181],"over":[182],"victim)":[184],"quite":[186],"rare.":[187],"Originality/value":[188],"To":[189],"best":[191],"authors\u2019":[193],"knowledge,":[194],"this":[195],"is":[197],"first":[199],"investigate":[201],"As":[211],"such,":[212],"it":[213],"provides":[214],"important":[215,243],"insight":[216],"into":[217],"implement":[221],"lays":[225],"critical":[227],"foundation":[228],"for":[229,245],"future":[230],"research":[231],"investigating":[232],"psychological":[234],"aspects":[235],"The":[239],"results":[241],"implications":[244],"countermeasures":[247],"education.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}