Abstract

This thesis will examine how the traditional crime and cy- were affected by the 2008 financial crisis. United States are also experiencing a rise in crime between 2005 and 2012. Based on the FBI data at the national level. The Internet Crime Complaint Center (IC3), Uniform Crime Reports and important economic indicators. The study, which involves tors, including unemployment, GDP, rates of foreclosures, and mortgage rates, is a combination. correlationbased interpretation supported by exploratory descriptive trend analysis. model-fit checks. The results indicate that contrary to the conventional expectations, violent and property crime also maintained their long-term reduction during the period of the crisis, but cybercrime. grievances and other financial losses increased tremendously. Crime Traditional crime displays pre- unanimously negative relations with unemployment and foreclosure measures, consistent. and opportunity based and security based explanations, but cybercrime is positively correlated. as a country with economic hardship and increased reliance on the digital. Considering that the number of annuals is low. observations in the national series, procedures of predictive claims in the future do not come into consideration of this study, and high in-samples fit should be taken with reservations. The findings are all in favour of. strain-opportunity and routine activity approaches and accentuate the necessity of crisis-era. policies that have a combination of cybersecurity, digital literacy, and economic assistance to minimize both. offline and online harms. Main keywords: financial crisis of 2008, traditional crime; cybercrime, economic indicators, Machine learning, time-series analysis, United States, Routine activity theory.

Publication Date

12-2025

Document Type

Thesis

Student Type

Graduate

Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research

Advisor

Sanjay Modak

Advisor/Committee Member

Khalid Ezzeldeen

Campus

RIT Dubai

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