Grid business data contains a large amount of electricity data customer privacy data, serving
more than 1.1 billion people, involving personnel, financial, material, assets and other ten …

The Energy Internet is one of the core components of the Industrial Internet, with trillions of
terminals connected to the network, linking all aspects of energy production, transmission …

With the development of smart grid technology, the security of APN network of power grid
IOT terminal is facing greater challenges. If outsiders steal accounts or insiders engage in …

The increasing scale of power IoT terminal access, in order to ensure that Web-based
services are not damaged, automatic anomaly detection methods are needed to monitor …

With the transformation of the digital development of power grids, the classification and
grading of structured data for electricity is an important basis for data security protection …

In the process of sharing power data through online channels, there exists a potential risk of
data leakage, necessitating effective data traceability of leaked information. This paper …

The basic idea of federated learning is to aggregate the local model parameters of all
participants to obtain a global model, which is more universal and has better performance …

In the context of the widespread adoption of Industrial Internet of Things (IIoT) technology,
the number of IoT devices is rapidly increasing, leading to a significant security concern in …

This article discusses a privacy preservation for federated learning based on gaussian noise
scrambling. The main objective of this model is to protect user data privacy and security by …

In this article, a rich attack vector library is constructed. The attack vector generation method
based on operator expression is adopted, and the attack vector is modeled based on the …