Adapting level of detail in user interfaces for Cybersecurity operations

Inibhunu, Catherine; Langevin, Scott M.; Ralph, Scott; Kronefeld, Nathan; Soh, Harold; Jamieson, Greg A.; Sanner, Scott; Kortschot, Sean W.; Carrasco, Chelsea; White, Madeleine

doi:10.1109/rweek.2016.7573300

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…Financial and intellectual property damages continue to rise as a result of insider threats (Cole, 2015;Gorg, Kang, Liu, & Stasko, 2013;Inibhunu et al, 2016;Pfleeger & Stolfo, 2009). The purpose of this study is to address the prevalent challenge within the cybersecurity industry when detecting potentially malicious insider cyber threats and enabling the visualization of threats as they occur.…”

Section: Introductionmentioning

confidence: 99%

How workplace satisfaction affects insider threat detection as a vital variable for the mitigation of malicious cyber insiders

Clarke

Levy

Dringus

et al. 2019

OJAKM

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Insider threat mitigation is a growing challenge within organizations. The development of a novel alert visualization dashboard for the identification of potentially malicious cyber insider threats was identified as necessary to alleviate this challenge. This research developed a cyber insider threat dashboard visualization prototype for detecting potentially malicious cyber insider activities QUICK.v™. This study utilized Subject Matter Experts (SMEs) by applying the Delphi Method to identify the most critical cyber visualization variables and ranking. This paper contains the detailed results of a survey based experimental research study that identified the critical cybersecurity variables also referred to as cybersecurity vital signs. The identified vital signs will aid cybersecurity analysts with triage for potentially malicious insider threats. From a total of 45 analytic variables assessed by 42 cybersecurity SMEs, the top six variables were identified using a comprehensive data collection process. The results indicated that workplace satisfaction is one of the top critical cyber visualization variables that should be measured and visualized to aid cybersecurity analysts in the detection of potentially malicious cyber insider threat activities. The process of the data collection to identify and rank critical cyber visualization variables are described.

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Section: Introductionmentioning

confidence: 99%

How workplace satisfaction affects insider threat detection as a vital variable for the mitigation of malicious cyber insiders

Clarke

Levy

Dringus

et al. 2019

OJAKM

View full text Add to dashboard Cite

show abstract

“…Further, the human thought process is distinct from that of the machine. Human factors research in cybersecurity is expanding beyond password and phishing studies to investigate vigilance (Finomore et al, 2013), situation awareness (Yen et al, 2010), and anomaly search behaviors (Inibhunu et al, 2016) of security professionals to support cyber response to APTs. These investigations that mainly assume a cognitivist approach are invaluable to understand the cognitive challenges and processes of security personnel responding to cyber incidents.…”

Section: Introductionmentioning

confidence: 99%