… research work on using AI to combat cyber attacks, including using traditional machine learning
approaches and existing deep learning … (NIDS: Network Intrusion Detection System)无法 …

… implementing malware classification and intrusion detection and threating intelligence sensing.
… machine learning, preserve privacy in machine learning, secure federated learning, etc. …

… 在电 力系统数据集上实验证明其能有效保护隐私,提升 SCADA 中的入侵检测性能. 2)质心点方法
… hybrid normalization for enhancing machine learning-based network intrusion detection[J]. …

… vised learning is the most common type of machine learning. Supervised learning algorithm
… In semi-supervised learning, this research uses both unlabeled data and a small amount of …

… 2 algorithms to do the clustering analysis with … research of this paper provides a new thinking
in the extraction of early-warning threshold in computer monitoring for agricultural SCADA …

… This paper focuses on the intrusion detection through PU learning (Positive-unlabeled learning…
其中过程监控层主要包含SCADA 和HMI, SCADA 可以对现场的运行设备进行监视和控制, 以 …

… Abstract To solve the problems of abnormal intrusion in … pumping station,an intrusion detection
algorithm of industrial control … Mod⁃ bus/TCP for intrusion detection in SCADA systems[J]. …

… 因此许多研究者将其应用于入侵检测系统(IDS, intrusion detection system)的设计中,以提高…
analysis of SCADA networks to detect malicious control commands in power grids[C]//…

… Intrusion detection in SCADA based power grids: recursive feature elimination model with
majority vote ensemble algorithm[… Adversarial machine learning attacks and defense methods …

… )系统上对需要被访问的数据进行权限设置,通过 OPC读取到SCADA数据[8,9]. … intrusion detection
system based on feature extraction and multidi⁃ mensional hidden Markov model analysis…