4 results about "Linear prediction coding" patented technology

The application relates to the technical field of network security, and provides a blockchain network attack detection method, device, equipment, medium and program product, which comprises the following steps: acquiring network access behaviors between blockchain nodes, extracting network access features from the network access behaviors and constructing a network access feature set; determining linear predictive coding spectrum features of the network access feature set according to preset network access targets and time slices; inputting the linear predictive coding spectrum features into a time sequence prediction network, taking an output state of the time sequence prediction network as a time sequence evolution mode feature of the network access targets; and performing network attack detection according to the time sequence evolution mode feature. The application can adapt to rapid dynamic changes of network attack modes by determining the time sequence evolution mode feature of the network access targets through the linear predictive coding spectrum features of the network access feature set, so that the precision of network attack detection and identification is improved.

This application provides a control method and electronic device for a liquid cooling system, which can be applied to the field of heat dissipation technology. The control method includes: determining the load level information of the electronic device within a target time period based on performance index data; preprocessing the target data to obtain multiple sub-target data frames; performing linear prediction encoding on each of the multiple sub-target data frames to obtain multiple sub-linear prediction coefficients; matching benchmark data from a preset health benchmark library based on the load level information; comparing the multiple sub-target data frames and multiple sub-linear prediction coefficients with the matched benchmark data to determine the residual energy and coefficient distance corresponding to the target data; determining health indicators based on the residual energy and coefficient distance corresponding to the target data; generating early warning information based on the health indicators and a preset health threshold; and using the early warning information to prompt control operations corresponding to the early warning information on the liquid cooling system.