Year: 2025
Type: article
Abstract: In today’s era of technology, where information is readily available anytime and from anywhere, safeguarding our privacy and sensitive data is more important than ever. The thermal sensors embedded within a CPU are primarily utilized for monitoring and regulating the processor’s temperature during operation. However, they can serve as valuable components in increasing the security of a system as well, by enabling the detection of anomalies through temperature monitoring. This study presents three distinct methods demonstrating that anomalies in CPU heat dissipation can be effectively detected using the thermal sensors of a CPU, even under conditions of significant environmental use. First, it evaluates the Hot-n-Cold anomaly detection technique across various noisy environments, demonstrating that the presence of additional lines of code inserted into a Linux command can be identified through thermal analysis. Second, it detects the CryptoTrooper ransomware attack by fingerprinting the associated cryptographic processes in terms of temperature. Finally, it detects unauthorized system login attempts by capturing and analyzing their distinctive thermal signatures. This study demonstrates that various detection mechanisms can be implemented using thermal sensors to enhance system security. It also motivates the need for further research in this relatively underexplored area with the goal of developing more effective methods of protecting data.
DOI: 10.3390/jcp5030056
Authors: Teodora Vasilas, Remus Brad
Institution: Lucian Blaga University of Sibiu
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,207
OpenAlex ID: W4413222997