Date of Award
5-2026
Culminating Project Type
Starred Paper
Styleguide
apa
Degree Name
Information Assurance: M.S.
Department
Information Assurance and Information Systems
College
Herberger School of Business
First Advisor
Lynn Collen
Second Advisor
Erich P Rice
Third Advisor
Mark B Schmidt
Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Keywords and Subject Headings
Connected Vehicles, Driver Behavior Data, Data Privacy, NIST Privacy Framework, Privacy Risk Management, Telematics, Informed Consent, Data Transparency, Usage-Based Insurance, Cybersecurity
Abstract
The development of connected cars has resulted in massive amounts of data collection about driver behavior, including acceleration, braking, and speed. These data have been helpful for the proper functioning of safety features, diagnostics, and usage-based insurance. However, the use of such technology may lead to various privacy concerns, such as the use of driver behavior data, which may impact the privacy of the driver. This paper discusses how automakers can address the threats to privacy in driver-behavior data collection by using the National Institute of Standards and Technology (NIST) Privacy Framework. In the course of the research, academic literature, findings of regulatory authorities, and industry reports were studied to understand the ways in which the data related to driver behavior are collected. After identifying these practices, the findings were mapped to the core functions of the NIST Privacy Framework. According to the findings, the threats of privacy are mainly due to over-collection, poor consent procedures, and insufficient transparency. The results suggest that the application of the NIST Privacy Framework can offer a systematic approach to manage privacy risks, which may help to ensure the safe use of connected vehicle technology and sustain consumer trust.
Recommended Citation
Tamrakar, Samyak, "Application of the NIST Privacy Framework For Connected Vehicles" (2026). Culminating Projects in Information Assurance. 163.
https://repository.stcloudstate.edu/msia_etds/163

