An Assessment of Cyber Threats Targeting Robotic Systems: A Quantitative Study
No Thumbnail Available
Authors
CHOUDJEM SIEWE, SORELLE
Issue Date
2025-10
Type
Dissertation
Language
en
Keywords
Cyber threats , robotic systems , application security , cybersecurity skill sets , information security , Business, Engineering, Science, & Technological Innovation
Alternative Title
Abstract
Organizations have embraced robotic systems as a necessity due to their numerous benefits. These systems are, unfortunately, increasingly targeted by cybercriminals. A cyber-attack on these entities can have serious consequences for companies. The problem addressed in this study is assessing organizations' security practices in preventing cyber threats to robotics systems. This quantitative correlation study examines whether organizations that adopt these systems effectively implement proper security measures to utilize this technology. This study employed the technology-organization-environment framework to examine how its components can aid in assessing organizations' security practices by adopting this technology for successful implementation. Data were collected from 88 cybersecurity professionals with at least three years of experience in protecting robotic systems using an online survey. The study used an original instrument, validated through preliminary pilot testing and Cronbach's Alpha test to establish reliability. Pearson's correlation and linear regression were utilized to test the data collected in SPSS. The results of the Pearson correlation indicated a positive correlation between network security, information security, application security, and organizational cybersecurity skill sets and the implementation of robotic systems. The p-value was less than 0.05, indicating rejection of the null hypothesis for all variables. The linear regression results indicated that network security and organizational cybersecurity skill sets were predictive variables with a p-value less than 0.05. The overall model was statistically significant, with an ANOVA score of p < .001. The findings underscored the importance of organizations implementing effective security practices to enhance their ability to prevent cyberattacks. The successful implementation of their robotics systems depends on this endeavor. Organizations can build resilience and ensure these systems achieve the goal that motivated their adoption within the organization by enforcing the recommendations.