In this paper, we propose an unsupervised anomaly detection method based on the
Autoencoder with Long Short-Term Memory (LSTM-Autoencoder) network and Generative …

Abstract Supervisory Control and Data Acquisition (SCADA) systems play an important role
in Smart Grid. Though the rapid evolution provides numerous advantages it is one of the …

Abstract In Self-Organizing Maps (SOM) are unsupervised neural networks that cluster high
dimensional data and transform complex inputs into easily understandable inputs. To find …

Industrial device scanners allow anyone to scan devices on private networks and the
Internet. They were intended as network security tools, but they are commonly exploited as …

Network log data is significant for network administrators, since it contains information on
every event that occurs in a network, including system errors, alerts, and packets sending …

For ensuring the proper operation of CPS, it is required to obtain a solution to the security
problem. Applications for cyber-physical systems (CPS) have a big impact on several …

Critical infrastructures across many industries, such as smart water treatment and
distribution networks (SWTDNs) and power generation and public transport networks …

The rapid development of cyber-physical systems results in vast amount of heterogeneous
data generated every day. To deal with unstructured data and maintain its security and …

The need to update the electrical infrastructure led directly to the idea of smart grids (SG).
Modern security technologies are almost perfect for detecting and preventing numerous …

Resilience improvement of complex internets of utility systems is still an open issue for the
current research. Proposed solutions fail to implement an integrated approach to detection …