The goal of this study was to survey farmers and agribusiness owners about their perceptions of cyber security, and how age, gender, and education might affect those perceptions. Using the Health Belief Model as a framework, the survey measured the constructs of perceived susceptibility, severity, benefits, barriers, self-efficacy and cues to action. In addition to the framework, levels of previous cyber-crime victimization and technology implementation were measured. The results of this survey demonstrated that perceived susceptibility to cyber-attacks and the perceived benefits of protective technology are related to an individual’s choice to implement cyber security technology. Over half of the respondents had been victims of a computer security incident, demonstrating that even individuals working in agriculture can be impacted by computer crime incidents. This project deepens the understanding of how individuals react to known threats, and what motivates them to adopt protection technologies.

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As more and more wirelessly connected networks come online, security becomes a prominent concern. WiFi insecurity can result in detrimental effects to both individuals and organizations. To establish a greater awareness of the problems associated with wireless security and the extent to which the so-called digital divide effects such problems, we examine the relationship between wireless access points collected via wardriving and a series of US Census socioeconomic variables in two communities in the United States. We found significant correlations between WiFi security race/ethnicity, which may also correlate to education levels and income. Such findings suggest that a greater awareness and/or manufacturer-driven default security for wireless access points may be necessary to ensure better security.

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