Development of a Social Engineering eXposure Index (SEXI) using Open-Source Personal Information

Abstract

The results of this research study established, categorized, and validated a quantifiable measurement of personal information. Moreover, the results of this research study validated that the SEXI benchmarking index could be used to assess an individual’s exposure to social engineering due to publicly available personal information. As organizations and public figures rely on Internet technologies understanding the level of personal information exposure is critical is protecting against social engineering attacks. Furthermore, assessing personal information exposure could provide an organization insight into exposed personal information facilitating further mitigation of threats or potential social engineering attack vectors. Discussions and implications for future research are provided.

Cover Page
ISBN
9798496532044
Number of References
186
Org Name
Nova Southeastern University (CCE)
Publication Date
Dec 02, 2021
Publication Name
ProQuest Dissertations & Theses Global
Submission Date
Oct 06, 2021
Word Count
57706
Citation

Wilkerson, W. S. (2021). Development of a Social Engineering eXposure Index (SEXI) Using Open-Source Personal Information (Order No. 28860985). Available from ProQuest Dissertations & Theses Global. (2605173734). https://ezproxylocal.library.nova.edu/login?url=https://www.proquest.com/dissertations-theses/development-social-engineering-exposure-index/docview/2605173734/se-2