"Encrypted AI for Environmental Monitoring Systems"

Abstract

Environmental monitoring systems play a crucial role in assessing and managing natural ecosystems and human impacts on the environment. As these systems collect vast amounts of sensitive data, ensuring their security and privacy is paramount. This paper proposes an innovative approach combining artificial intelligence (AI) and encryption techniques to safeguard environmental monitoring data. By integrating encrypted AI models into these systems, sensitive data can be securely processed and analyzed without compromising confidentiality. This approach not only enhances data privacy but also maintains the integrity and reliability of environmental assessments. The paper discusses the implementation of encrypted AI for real-time monitoring applications, highlighting its potential to revolutionize how environmental data is managed securely and effectively in the era of digital transformation