Loading...
Dr. R. Sujatha serves as Principal cum Associate Professor in Administration and Computer Science at Subbalakshmi Lakshmipathy College of Science, Madurai, Tamil Nadu, India. She has extensive academic and administrative experience in higher education. Her research interests include cybersecurity, trust management, artificial intelligence, and smart campus technologies. She has contributed to several academic publications and institutional development initiatives.
AI-driven smart campus systems incorporate advanced technologies like artificial intelligence, the Internet of Things (IoT), and cloud computing to improve academic, administrative, and operational efficiency. The widespread implementation of data-driven systems presents considerable issues with security, privacy, and trust. This chapter investigates the essential elements of protecting smart campus environments by analysing potential threats, vulnerabilities, and risk factors related to interconnected technologies and sensitive data. The chapter examines essential security technologies, such as encryption, authentication, access control, intrusion detection systems, and secure network designs. It also encompasses privacy-preserving methodologies, like data anonymisation, differential privacy, and federated learning, to safeguard student and institutional data. Trust management frameworks are examined to guarantee openness, reliability, and accountability in AI-driven decision-making processes.