Implementation of a Remote Control and Monitoring System in Assembly Processes with Industrial Robot Kawasaki Rs003 Through the GSM Network in the Industrial Automation Laboratory of the Faculty of Mechanics

Cevallos, H; Gualacio, J; Silva, A; montalvo, patricia

doi:10.18502/keg.v3i9.3648

Cited by 1 publication

(1 citation statement)

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“…The industrial control system can be remotely interacted with and communicated with cloud services [ 1 ], cyber-physical systems [ 2 ], or edge devices in a highly networked environment [ 3 ]. Cyber-attacks are increasingly becoming a threat to ICS; thus, their security is critical [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

A Three-Stage Dynamic Assessment Framework for Industrial Control System Security Based on a Method of W-HMM

Wei

Chen

et al. 2022

Sensors

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Industrial control systems (ICS) are applied in many fields. Due to the development of cloud computing, artificial intelligence, and big data analysis inducing more cyberattacks, ICS always suffers from the risks. If the risks occur during system operations, corporate capital is endangered. It is crucial to assess the security of ICS dynamically. This paper proposes a dynamic assessment framework for industrial control system security (DAF-ICSS) based on machine learning and takes an industrial robot system as an example. The framework conducts security assessment from qualitative and quantitative perspectives, combining three assessment phases: static identification, dynamic monitoring, and security assessment. During the evaluation, we propose a weighted Hidden Markov Model (W-HMM) to dynamically establish the system’s security model with the algorithm of Baum–Welch. To verify the effectiveness of DAF-ICSS, we have compared it with two assessment methods to assess industrial robot security. The comparison result shows that the proposed DAF-ICSS can provide a more accurate assessment. The assessment reflects the system’s security state in a timely and intuitive manner. In addition, it can be used to analyze the security impact caused by the unknown types of ICS attacks since it infers the security state based on the explicit state of the system.

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