METHOD OF COMPREHENSIVE OPTIMIZATION OF ENERGY CONSERVATION AND SECURITY FOR IoT TECHNOLOGY

Abstract

The article presents a new method of comprehensive adaptive optimization of energy consumption and cybersecurity in the Internet systems (IOT), developed taking into account the limited resources of built -in devices and the need to maintain a high level of data protection in real time. The method is based on the principles of dynamic control of IOT-gear modes using algorithms that take into account the current battery charge, the level of criticality of the data processed, the frequency of events and the risks of network threats. Its implementation allows you to automatically change the frequency of data transmission and energy consumption modes, ensuring a balanced interaction between the autonomy of the device and the safety of information.

The study made a thorough analysis of current IOT challenges, classified existing approaches to energy saving and considered current cryptographic protocols, including IPSEC, TLS, AES, RSA and ECC. On the basis of the obtained conclusions, the original algorithm of adaptive control of energy consumption and protection of data transmission is proposed. To evaluate its effectiveness, an experimental prototype of the IOT device based on the ESP32 microcontroller, DT22 sensor, MQTT-protocol with TLS defense was developed and implemented, and the Node-Red software visualization was created. 108-hour threat modeling tests (port scanning, IP, Flooda attacks) showed a decrease in energy consumption by more than 40% compared to the fixed mode, without loss of accuracy or stability of the system.

The results confirm the high efficiency of the developed method and its suitability for the introduction into household, infrastructure and industrial IOT systems, where the autonomy, reliability and safety of data are critical.