A New Algorithm Watermark for Improving Objects Based on Clusters and Perceptions
Fozil T. Kholov, Shelupanov Aleksandr Aleksandrovich, Shonazarov Parviz Mahmadnazarovich · 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) · 2020
The Internet of Things is the concept of connecting a large number of devices connected to a common network. This data communicates with each other via the Internet. Most connected devices in a single network create a complete picture of what is happening around, increase comfort and improve the quality of life of people. This article proposes a layout based on marking and improved clustering that resolves the conflict between security and perceptual resource levels. The Internet of Things, or IOT, refers to the billions of physical devices around the world that are now connected to the Internet that collect and exchange data. Thanks to low-cost processors and wireless networks, IOT can be partly turned into anything - from simple devices to an airplane. This adds a level of digital intelligence to devices, allowing them to communicate without human intervention and the fusion of the digital and physical worlds. To improve security, we are developing a stochastic positioning strategy based on a clustering algorithm to calculate the position embedded in the temporal dynamics of data measurement. This security vulnerability created by a stationary built-in situational situation can not only be effectively eliminated, but also lead to zero data breach. The results of our studies show that the proposed algorithm can effectively provide the integration of low-cost data, as well as reduce energy consumption and increase the lifetime of the network.