Date
7-22-2025
Department
Helms School of Government
Degree
Doctor of Philosophy in Criminal Justice (PhD)
Chair
Jared Perry
Keywords
Digital Attribution, Criminological Control Theory, Digital-Ledger Technology, Digital Forensics
Disciplines
Computer Sciences | Sociology
Recommended Citation
Nicholson, William H., "Digital Identity Management as a Critical Criminal Justice and Homeland Security Legal Issue: A Qualitative Analysis of the Reasonable Person Factors Involved in Court Decisions" (2025). Doctoral Dissertations and Projects. 7164.
https://digitalcommons.liberty.edu/doctoral/7164
Abstract
The purpose of this descriptive qualitative applied study is to define and explain through analysis the reasonable person standard as it relates to prosecution and sentencing computer crime cases involving digital identities while addressing the problem of digital anonymity. This has been done by analyzing computer crime cases with the advent of current and planned technologies, and surveying potential jurors to understand the current state of knowledge of digital attribution. This descriptive qualitative research method analyzed the problem through the use of criminological theories of control and social learning theory to better understand the reasonable person standard in computer crime sentencing for application at all levels of law enforcement and homeland security investigations, prosecutions and cybersecurity. This research study is designed to develop a basic understanding of the current factors a reasonable person considers when discussing the topic of digital attribution. The primary goal of this descriptive study was to develop a better rubric of identity factors to inform all elements of the criminal justice community and identify solutions to enhance the investigation, jury selection, and prosecution of cases involving attribution in computer related criminal cases. The focused descriptive qualitative research study and resultant analysis will consist of surveying the American public as the reasonable person and will result in a baseline set of identity factors for the new reasonable person standard for digital attribution as well as identify areas for future research and study.