Industry 4.0 is based on cyber-physical systems (CPSs); therefore, the risks of cyberattacks tend to increase. A cyberattack is any malicious act that could jeopardize the security of production, accounting and financial systems. This review hypothesizes quality management is in a position to play an important role in preventing and detecting hacker attacks.
To verify this hypothesis, Lakato’s research program was utilized in a bibliometric review. This review was separated into two stages: the first was a descriptive analysis and the second was a scientific mapping, done using a technique known as text mining. This technique was guided by factorial and cluster analysis.
The analysis revealed that this subject is emerging and relevant. It was observed that understanding the vulnerabilities of connected systems is crucial for combating cyberattacks. Furthermore, the study highlighted the potential of multivariate control charts, such as Hotelling’s T-squared charts and Exponentially Weighted Moving Average (EWMA) control charts, in efficiently detecting anomalies in connected systems.
This article introduces an approach integrating quality management, statistical analysis and cybersecurity to safeguard CPSs. By leveraging advanced statistical techniques, such as Hotelling T2 charts and EWMA charts, in conjunction with the foundational principles of quality management systems (QMS), such as continuous improvement and process standardization, this could be a potentially robust defense against cyberattacks. The integration of these tools allows for the early detection of anomalies and potential cyber threats, ensuring the prevention of integrity and security of interconnected industrial processes.
