Analyzing Insider Cyber Threats and Human Factors within the Framework of Agriculture 5.0

In the transition to Agriculture 5.0, emphasizing human-machine interactions, the agricultural industry faces a heightened risk of cybersecurity threats stemming from human vulnerabilities. This study emphasizes the necessity of addressing human factors to ensure a balanced approach to technological advancement and cybersecurity in Agriculture 5.0. Specifically, it delves into insider threats as a significant human factor affecting agricultural cybersecurity, exploring diverse insider types and the associated security risks. The paper proposes preventive strategies grounded in the analysis of human factors to enhance security measures, safeguarding critical and sensitive agricultural information. Utilizing use case diagrams, Unified Modeling Language, function allocation, and task analysis, the study highlights various insider threats and their defense mechanisms within the context of Agriculture 5.0.