The Efficiency of a Framework to Enhance Confidentiality and Privacy of Data in Motion

Abstract

Using a descriptive cross-sectional research design, this study sampled 44 participants comprised of top managers and directors; experts in car tracking and sensor installers, and FMS Clients. Data was collected using structure questionnaires and analyzed quantitatively. Various analysis and test including correlation and regression were conducted. The findings revealed that there is a significant relationship between consent and the effectiveness of the designed framework of data in motion (r=.686**); implying that consent enhance trust and honesty, and empower the users to have the final say on who retrieves their data unlike before when the service provider and other third parties would without seeking permission from the client. It was noted that there is a significant effect of confidentiality on the effectiveness of the designed framework of data in motion (r=.342**). This implies that anonymity of the users shall build trust, protects reputation and prevents misuse of confidential data. Study findings noted that there is a significant effect of privacy on the effectiveness of the designed framework of data in motion (r=.589**). This implies that in privacy, there is respect for individuals’ reputation and movement, enhance trust and individuals has a reasonable desire to keep something private. Undertaking mediation and interaction effects amongst variables and well as establishing the longitudinal results of the relationship between study variables are recommended in further studies.