Model of intelligent protection for temperature-based transmitting channels in laboratory sensor networks with embedded information processing

The paper is devoted to solving the relevant problem of protecting information from leakage through thermal channels in systems with built-in information processing means. In the work it is presented a hierarchical modular model of intelligent protection against information leakage through temperaturebased transmission channels in IoT-oriented laboratory sensor networks with embedded information processing increase the reliability of information protection during laboratory tests against leakage through thermal channels by means of intelligent control of active protection processes. The results have proved the increase in the reliability of information protection during laboratory tests against leakage through thermal channels up to 20% in comparison with analogue protection systems. The means of intelligent control of active protection processes made it possible to develop an adaptive model of thermal covert channel protection. The proposed model of intelligent protection for temperature-based transmitting channels in laboratory sensor networks is based on intelligent management decision-making by a cyber-physical protection system through parametric linking of input data and physical changes in active protection. The proposed approach integrates three key components of input data: input physical, analytical and predictive parameters. It takes into account the influence of input physical parameters on output physical parameters as well as on the input predictive and analytical parameters. The protection system operates autonomously, adapting to input parameters, while ensuring the safety of laboratory equipment. The NIST statistical tests are used for detecting anomalies in thermal channel during the active protection is used. The contribution of this work lies in advancing intelligent active protection of IoT-based laboratory systems, ensuring reliable operation under security threats.