无线通信网络的脆弱性使得工业信息物理系统易遭受各类网络攻击. 为了更深入地了解不同网络
攻击的特征进而建立有效的防御措施, 构建一种线性时不变离散系统的工业信息物理系统结构; …

To protect the intellectual property (IP) of neural network models, many active protection
methods for models based on parameter obfuscation have been proposed. However, the …

A cyber‐physical system (CPS) is a new mechanism controlled or monitored by computer
algorithms that intertwine physical and software components. Advanced persistent threats …

This paper proposes a reinforcement learning (RL) algorithm for the security problem of
state estimation of cyber-physical system (CPS) under denial-of-service (DoS) attacks. The …

提出一种基于改进极限学习机(Online sequence extreme learning machine, OSELM)
的新能源电站数据采集与监控(Supervisory control and data acquisition, SCADA) …

In this chapter, the deep reinforcement learning based secure control problem of CPSs
under actuator attacks is first investigated. A reinforcement learning algorithm is proposed to …

入侵检测系统在保障信息安全方面起着重要的作用, 对入侵检测系统智能性的研究是当前信息
安全领域的研究热点. 针对入侵检测系统存在的高漏报率和误报率等缺点, 在对RBF (Radial …

With the rapid development of modern society, the administrative information content rapid
growth of e‐government information resource sharing becomes the key of the government …

With the development of AIoT, data-driven attack detection methods for cyber–physical
systems (CPSs) have attracted lots of attention. However, existing methods usually adopt …

The problem of stealthy innovation-based attacks in cyber-physical systems is studied in this
paper. Different from the existing results which only utilize the current data, a more general …