A big data transmission method for active distribution network based on behavior marking and lightweight encryption
A distribution network and big data technology, applied in the field of big data transmission of active distribution network, can solve the problems of low efficiency and insecurity of big data transmission of active distribution network
Active Publication Date: 2021-07-20
中科全维科技(苏州)有限公司
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[0006] The purpose of the present invention is to provide a large data transmission method of active distribution network based on behavior marking and lightweight encryption, which is used to solve the problem of inefficient and insecure transmission of large data in active distribution network. The method proposed by the present invention According to the method of data marking and lightweight stream encryption, it can ensure the anti-theft and anti-tampering of data transmission and realize the rapid identification and matching of the receiver, so as to ensure the safe and efficient transmission of distribution network data
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[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0031] When there are frequent data interactions in the big data transmission of the active distribution network, the amount of interaction is large, the real-time requirements of some data cannot be met, and the security cannot be guaranteed. The big data transmission method of the distribution network can be divided into three types: real-time data, non-real-time data and event-triggered data; for the data that needs real-time transmission and processing,...
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The invention belongs to the field of power grid data security, and is mainly used to solve the security and efficiency problems in data transmission, and specifically relates to a large data transmission method of active distribution network based on behavior marking and light encryption, including the following steps: obtaining active Distribution network big data, use the convolutional neural network to extract the characteristics of the data set and the probability of the Softmax function output category to divide the active distribution network big data into real-time data, quasi-real-time data and non-real-time data; for real-time data, quasi-real-time data Data and non-real-time data are marked and encrypted; based on the distributed Agent parallel technology, the data of each sampling point is compressed under multi-objective constraints, and finally transmitted safely. The method proposed by the present invention ensures anti-theft and anti-tampering during data transmission according to data marking and lightweight stream encryption methods, and realizes rapid identification and matching of receivers, thereby ensuring safe and efficient transmission of distribution network data.
Description
technical field [0001] The invention is an active distribution network big data transmission method based on behavior marking and light encryption, which is mainly used to solve the security and efficiency problems in data transmission, and belongs to the field of power grid data security. Background technique [0002] With the continuous development of active distribution network, the use of traditional communication methods such as GPRS / CDMA, ZigBee, Wi-Fi and dedicated optical fiber for power grid data transmission can no longer guarantee the security of data transmission. And the existing wireless transmission is essentially encrypted to ensure the security of the data during transmission, because in the active distribution network environment, a large amount of collected data needs to be transmitted to the controller and the master station system for processing At the same time, it is necessary to return the processed data to the controller for scheduling and control, s...
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IPC IPC(8): H02J13/00H04L9/06H04L9/08H04L9/30G06N3/04G06F16/906
CPCH02J13/00002H02J13/00006H02J13/00032H04L9/0631H04L9/0643H04L9/0891H04L9/302G06F16/906G06N3/045Y04S40/20Y04S40/12Y02D10/00Y02B90/20
Inventor 黄廷磊邓松张姿刘久云夏威
Owner 中科全维科技(苏州)有限公司