Block coding true random number generation method and system based on electric power internet of things

Abstract

The invention discloses a block coding true random number generation method and system based on an electric power internet of things, and belongs to the technical field of data security. The method comprises the following steps: dividing electric power Internet of Things true random number acquisition equipment into a selection group and an output group; establishing a vernier calculation rule according to the data collected by the selection group, and establishing a selection vernier set according to the vernier calculation rule; selecting a collection device from the output group according to the selection vernier set, establishing a true random calculation rule, and outputting a true random number as a random seed according to the true random calculation rule; and according to the random seed, establishing an output calculation rule, and according to the output calculation rule, outputting the target true random number. The system comprises a true random number input selector, a first establishment module, a true random number rule definition device and a true random number output device. The true randomness of individual power load data is amplified, and meanwhile, the load data stability under large-scale samples is inhibited, so that the technical requirements of a true random number generator in a production environment are met.

Description

technical field [0001] The present invention relates to the technical field of data security, in particular to a method and system for generating true random numbers based on block coding of electric power Internet of Things. Background technique [0002] Data security is facing unprecedented challenges. The reason is that the existing methods for protecting data security all encrypt data, but none of the encryption algorithms used can prove to be uncrackable. For details, see Machinery Industry Press, March 2003 "Applied Cryptography" published on the 1st, pages 6 and 12. In other words, encryption algorithms are only unbreakable within a certain range of available resources and time, even if infinite time and resources are given, they are still unbreakable. For related records, see the literature Shannon, Claude (1949). Communication Theory of Secrecy Systems, Bell SystemTechnical Journal 28(4):656–715, S N Molotkov, Quantum cryptography and V A Kotel'nikov's one-time key...

AI Technical Summary

Problems solved by technology

In reality, in order to ensure that the generated random numbers have true randomness (non-repeatable), the source of true random input (interference) must be large in scale, and the corresponding acquisition devices must also have the same scale, so the required The initial investment and continuous operation and maintenance costs of the collection equipment are very high, and the operation is difficult

[0007] 2. Sustainability issues

[0014] Although the power consumption behavior of individual users connected to the grid has true random characteristics (although it also shows a certain degree of stability and repeatability periodically), the periodic output of the total load as a large-scale group is stable (for example, every year / the same time period every year ), unable to meet the technical requirements of "non-repeatability" of true random number generator

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