Security And Privacy Concerns In AI-Enabled Iot Educational Frameworks: An In-Depth Analysis

Abstract

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in educational settings offers transformative potentials for personalized and interactive learning experiences. However, this integration also introduces significant security and privacy challenges that could compromise the safety and integrity of educational data and infrastructures. This paper provides an in-depth analysis of these challenges, exploring the vulnerabilities inherent in AI-enabled IoT systems within educational frameworks. Through the examination of specific security threats and privacy concerns, the study highlights the risks of data breaches, unauthorized access, and data misuse. Additionally, the paper evaluates current mitigation strategies and proposes robust measures for safeguarding against potential threats. The findings emphasize the need for a balanced approach that harnesses the benefits of AI and IoT technologies while rigorously protecting stakeholder privacy and maintaining security