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Kathryn Parsons

Researcher at Defence Science and Technology Organisation

Publications -  51
Citations -  1593

Kathryn Parsons is an academic researcher from Defence Science and Technology Organisation. The author has contributed to research in topics: Information security & Information security awareness. The author has an hindex of 16, co-authored 49 publications receiving 1177 citations. Previous affiliations of Kathryn Parsons include Australian Department of Defence & Defence Science and Technology Organization.

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Determining employee awareness using the Human Aspects of Information Security Questionnaire (HAIS-Q)

TL;DR: Results from 500 Australian employees indicate that knowledge of policy and procedures had a stronger influence on attitude towards policy and procedure than self-reported behaviour, suggesting that training and education will be more effective if it outlines not only what is expected but also provides an understanding of why this is important.
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Individual differences and Information Security Awareness

TL;DR: It was found that conscientiousness, agreeableness, emotional stability and risk-taking propensity significantly explained variance in individuals ISA, while age and gender did not.
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The Human Aspects of Information Security Questionnaire (HAIS-Q)

TL;DR: Results indicated that participants who scored more highly on the HAIS-Q had better performance in the phishing experiment, and provided evidence for its convergent validity, which means the HAis-Q can predict an aspect of information security behaviour, and provides evidence for the validity of this instrument.
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Why do some people manage phishing e‐mails better than others?

TL;DR: The findings indicate that overall, genuine e‐mails were managed better than phishing e‐ emails, however, informed participants managed phishing E‐mails better than not‐informed participants.
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The design of phishing studies

TL;DR: Results indicate that participants' performance differs greatly in terms of category (e.g., type of sender) of emails, and demonstrates that caution should be used when interpreting the results of phishing studies that rely on only a small number of emails and/or emails of limited diversity.