遇见数据集

Negative Entropy Zero-Trust Real-Time Hot Patching for Power Field Equipment Based on Brain-Computer Co-evolution

收藏
科学数据银行2025-09-25 更新2026-04-23 收录
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:
Zhenwan Zou
创建时间:
2025-09-25
二维码
社区交流群
二维码
科研交流群
商业服务