{"id":"https://openalex.org/W4411277464","doi":"https://doi.org/10.1145/3716489.3728447","title":"How Human Behavior Can Mitigate AI-Generated Cybersecurity Threats","display_name":"How Human Behavior Can Mitigate AI-Generated Cybersecurity Threats","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4411277464","doi":"https://doi.org/10.1145/3716489.3728447"},"language":"en","primary_location":{"id":"doi:10.1145/3716489.3728447","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716489.3728447","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716489.3728447","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Computers and People Research Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3716489.3728447","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098931999","display_name":"Abdul Rahman Noordeen","orcid":"https://orcid.org/0009-0001-7816-1686"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdul Rahman Noordeen","raw_affiliation_strings":["Kennesaw State University, Phd -IS, Kennesaw, GA, USA"],"raw_orcid":"https://orcid.org/0009-0001-7816-1686","affiliations":[{"raw_affiliation_string":"Kennesaw State University, Phd -IS, Kennesaw, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048809309","display_name":"May Bantan","orcid":"https://orcid.org/0000-0002-5595-1589"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"May Bantan","raw_affiliation_strings":["Kennesaw State University, Information Systems and Security, Kennesaw, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5595-1589","affiliations":[{"raw_affiliation_string":"Kennesaw State University, Information Systems and Security, Kennesaw, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3589,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88859145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9825000166893005,"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/T10734","display_name":"Information and Cyber Security","score":0.9825000166893005,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9775000214576721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6939131021499634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5578448176383972}],"concepts":[{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6939131021499634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5578448176383972}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3716489.3728447","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716489.3728447","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716489.3728447","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Computers and People Research Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3716489.3728447","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716489.3728447","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716489.3728447","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Computers and People Research Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411277464.pdf","grobid_xml":"https://content.openalex.org/works/W4411277464.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1490966766","https://openalex.org/W1607675442","https://openalex.org/W2056738644","https://openalex.org/W2096830520","https://openalex.org/W2407772516","https://openalex.org/W2766373534","https://openalex.org/W2886020125","https://openalex.org/W3120354059","https://openalex.org/W3121925176","https://openalex.org/W3158069738","https://openalex.org/W3202980338","https://openalex.org/W4210569522","https://openalex.org/W4226300618","https://openalex.org/W4307955901","https://openalex.org/W4313136560","https://openalex.org/W4399141407","https://openalex.org/W4406417645","https://openalex.org/W4407207320"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Despite":[0],"technological":[1],"advances":[2],"in":[3,64],"detecting":[4],"deepfakes,":[5],"AI-generated":[6],"social":[7,88],"engineering":[8],"attacks":[9],"continue":[10],"to":[11,32,69],"pose":[12],"significant":[13],"cybersecurity":[14],"threats":[15],"by":[16,46],"exploiting":[17],"human":[18],"cognitive":[19],"and":[20,30,42,56,78],"situational":[21,40],"vulnerabilities.":[22],"This":[23],"research-in-progress":[24],"study":[25,51],"investigates":[26],"how":[27],"individuals":[28],"perceive":[29],"respond":[31],"AI-driven":[33],"deepfake":[34],"threats,":[35],"with":[36],"a":[37,53],"focus":[38],"on":[39],"awareness":[41],"behavioral":[43],"responses.":[44],"Guided":[45],"Protection":[47],"Motivation":[48],"Theory,":[49],"this":[50],"employs":[52],"scenario-based":[54],"survey":[55],"analyzes":[57],"the":[58,71],"data":[59],"using":[60],"structural":[61],"equation":[62],"modeling":[63],"SmartPLS.":[65],"The":[66],"findings":[67],"aim":[68],"enhance":[70],"theoretical":[72],"understanding":[73],"of":[74],"deepfake-induced":[75],"persuasion":[76],"tactics":[77],"offer":[79],"practical":[80],"insights":[81],"into":[82],"strengthening":[83],"individual-level":[84],"defenses":[85],"against":[86],"AI-enabled":[87],"engineering.":[89]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}