  Data centres are experiencing significant growth in their scale, especially,
with the ever-increasing demand for cloud and IoT services. However, this rapid
growth has raised numerous security issues and vulnerabilities; new types of
strategic cyber-attacks are aimed at specific physical components of data
centres that keep them operating. Attacks against temperature monitoring and
cooling systems of data centres, also known as thermal attacks, can cause a
complete meltdown and are generally considered difficult to address. In this
paper, we focus on this issue by analysing the potential security threats to
these systems and their impact on the overall data center safety and
performance. We also present current thermal anomaly detection methods and
their limitations. Finally, we propose a hybrid method that uses multi-variant
anomaly detection to prevent thermal attacks, as well as a fuzzy-based health
factor to enhance data center thermal awareness and security
