As power big data plays an increasingly important role in the operation, maintenance, and
management of power systems, complex and covert false data attacks pose a serious threat …

Data decentralization and privacy constraints in federated learning systems withhold user
data from the server. As a result, intruders can take advantage of this privacy feature by …

In an era characterized by extensive use of and reliance on information and communications
technology (ICT), cyber–physical power systems (CPPSs) have emerged as a critical …

Federated learning has been rapidly evolving and gaining popularity in recent years due to
its privacy-preserving features, among other advantages. Nevertheless, the exchange of …

Intrusion detection technology can actively detect abnormal behaviors in the network and is
important to the security of Industrial Internet of Things (IIOT). However, there are some …

Time series data can be defined as a chronological sequence of observations on a variable
of interest. A streaming time series is a time series that arrives continuously at high speed …

This paper investigates fault detection and robust security control of implicit Markovian jump
(IMJ) systems affected by random false data injection (FDI) attacks and packet loss under …

The watermarking method, which adds unique watermarks to data, has been widely used for
integrity attack detection in industrial control systems (ICSs). Existing literature generally …

In the realm of networked control systems for unmanned surface vehicles (USVs),
guaranteeing the precise positioning and stable control of USVs against cyber attacks has …

This article proposes an alternating false data injection attack strategy, which can bypass the
summation detector in cyber-physical systems. This attack strategy offsets the impact on …