NCFU researchers have proposed a new model for data processing in the Internet of things, which will allow more reliability and security, as well as a number of other advantages related to data processing.

The Internet of things is a combination of various devices into a common network so that they can collect and process data, exchange it among themselves, with people, as well as with servers in the cloud. A classic example of the phenomenon is the so-called smart home that allows owners controlling devices remotely, e.g. turn off the iron or heat the water in the kettle while they are not home. However, despite the increasingly active expansion of the Internet of things both in everyday life and in production, there are still issues of reliability, security and data processing that are relevant. Unless due care is taken, companies may suffer enormous losses due to device failure or theft of some crucial information by competitors.

NCFU mathematicians, however proposed their own solution to three issues at once – an approach is based on the use of the residue number system (RNS), which is a number system based on modular arithmetic. The entire process is too complicated to describe it in detail, yet it can be said that the solution offered will allow even low-capacity PCs collect the required data and submit it further for processing in cloud systems, where more complex calculations will be performed.

Now further work is being carried on to polish the method, which is part of a project supported by the Russian Research Foundation, and which, in turn, belongs to an even larger international project.

For more details, please following the link to the article published in the international Internet of Things Journal (Impact Factor: 9.936, Q1, top 1). To read the text, please follow this link.