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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20251016T135126Z
LOCATION:Grand  E/F
DTSTART;TZID=America/Chicago:20251016T135000
DTEND;TZID=America/Chicago:20251016T141000
UID:HFESAM_ASPIRE 2025_sess102_LECT433@linklings.com
SUMMARY:Understanding Cybersecurity Skill Levels through Psychological Mea
 sures: Clustering Hackers with Traits Questionnaires
DESCRIPTION:Jinwoo Oh, Po-Yu Chen, Hsiang-Wen Hsing, and Nathan Lau (Virgi
 nia Tech Grado Department of Industrial & Systems Engineering); Peggy Wu a
 nd Kunal Srivastava (RTX Technology Research Center); Nikolos Gurney (USC 
 Institute for Creative Technologies); and Kylie Molinaro and Stoney Trent 
 (The Bulls Run Group)\n\nIn the evolving field of cybersecurity, red-team 
 or attack exercises provide invaluable insight into attackers' skills and 
 behaviors. These insights can extend beyond technical ability, including c
 ognitive behaviors, problem-solving approaches, decision-making under pres
 sure, and adaptability. However, participant recruitment for large represe
 ntative samples of hackers remains a challenge, limiting the discoveries o
 f the psychological traits associated with red-team proficiency. This pape
 r presents an exploratory study on psychological profiles of cybersecurity
  professionals and hobbyists recruited for a representative study in a Kal
 i Linux environment by clustering results from psychometric questionnaires
  to correlate traits with basic hacking skills.\n\nTrack: Cybersecurity\n\
 nSession Chair: Calvin Nobles (UMGC)\n\n
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