Information security systems (ISS) have been designed to protect assets from damages and from unauthorized access internally as well as externally. This research is promising similar protection from ISS methods that could prevent intoxicated individuals under the influence of alcohol from driving. However, previous research has shown significant challenges to the real time estimation of blood alcohol concentration (BAC) levels due to individual variances of body weight and metabolic rate. As a result, BAC validations via ISS have been found difficult to measure. Integrating information security technology into a vehicle to evaluate BAC levels when one inserts the key into the vehicle ignition was found to have the most significant effect in minimizing drunken driving fatalities. ISS methods of determining intoxication based on alcohol consumption to prevent intoxicated individuals from driving have received some attention. Nevertheless, a comprehensive intoxication detector using the current models of ISS has not yet been developed. Such a comprehensive method requires these fundamental questions to be asked: To what extent can ISS be utilized to prevent intoxication related accidents? How can ISS obtain the data to detect the intoxication level of an individual when starting a motor vehicle? What are the significant factors for implementing ISS in motor vehicles to prevent intoxicated individuals from driving? How can ISS make a decision to prevent an intoxicated individual from driving? This study presents several attempts to address these questions through qualitative case study methodology, analyzing the impact of ISS, presenting integrated models of information security context, and offering suggestions for further research. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]