Negative Entropy Zero-Trust Real-Time Hot Patching for Power Field Equipment Based on Brain-Computer Co-evolution
收藏DataCite Commons2025-09-26 更新2026-05-05 收录
下载链接：
https://www.scidb.cn/detail?dataSetId=0481b02d6bec476a8517c73153f9fb47
下载链接
链接失效反馈官方服务：
资源简介：
The NEZT-Patch data set is derived from 1200 thermal patch experiments of RTDS simulation platform and real IED cluster, covering key indicators such as brain-computer collaboration, negative entropy modeling, zero-trust authentication and eBPF injection. A total of 21,600 desensitization time series samples are used to support high real-time, high security and high stability thermal patch update research of power equipment under zero-trust architecture.
提供机构：
Science Data Bank
创建时间：
2025-09-26
