Research on Information Security Behavior of Smart Agriculture Internet of Things Based on Protection Motivation Theory

Abstract

[Purpose/Meaning] Explore the factors that influence the willingness of users of smart agricultural Internet of Things to conduct information security, to help the government, agricultural organizations or related organizations take effective measures, provide targeted information security education and training, and help train users The awareness of information security precautions promotes the willingness of information security behaviors among users of the intelligent agricultural Internet of Things. [Process/Method] This research is based on the theory of protection motivation, combined with the theory of social cognition, to establish a model that affects the information security behavior of users of the intelligent agricultural Internet of Things, conduct surveys for users, and finally use the structural equation model to analyze and explore the relationship between variables. [Results/Conclusions] The study found that threat assessment, response assessment, control tendencies, subjective norms, and security habits have a significant positive impact on user information security behavior, response costs have a negative impact on user behavior willingness, and perceived ease of use has a negative impact on user behavior. The influence of behavior intention is not significant.