In Industry 4.0, manufacturing and critical systems require high levels of flexibility and resilience for dynamic outcomes. Industrial Control Systems (ICS), specifically Supervisory Control and Data Acquisition (SCADA) systems, are commonly used for operation and control of Critical Infrastructure (CI). However, due to the lack of security controls, standards, and proactive security measures in the design of these systems, they have security risks and vulnerabilities. Therefore, efficient and effective security solutions are needed to secure the conjunction between CI and I4.0 applications. This paper predicts potential cyberattacks and threats against CI systems by considering attacker motivations and using machine learning models. The approach presents a novel cybersecurity prediction technique that forecasts potential attack methods, depending on specific CI and attacker motivations. The proposed model’s accuracy in terms of False Positive Rate (FPR) reached 66% with the trained and test datasets. This proactive approach predicts potential attack methods based on specific CI and attacker motivations, and doubling the trained data sets will improve the accuracy of the proposed model in the future.

The food industry is vital manufacturing sector globally, with an ever-increasing reliance on digitalisation and technology-driven processes. However, this advancement introduces inherent cyberattack risks, encompassing data breaches and system disruptions, which can severely impact production and disrupt the entire food chain. Consequently, cyber threats can evoke fear and mistrust among consumers, potentially tarnishing a company's brand. This paper presents a comprehensive research methodology, including an extensive literature review and a detailed survey, aimed at assessing the current state of cybersecurity within the food industry. The problem at hand is the industry's apparent lack of robust cybersecurity measures to protect against the growing threat landscape, which this research aims to address. Our findings reveal a clear gap in cybersecurity preparedness within the food industry, with potential vulnerabilities that could be exploited by cyber adversaries. In response, we propose a specialised security framework designed to mitigate these risks. The framework is built upon a thorough analysis of the industry's existing cybersecurity posture and the identification of both current and emerging cyber threats. The contribution of this research relies in the development of a security framework that strengthens the industry's cyber defenses, thereby enhancing its competitive advantage. The framework emphasizes the importance of continuous employee education and training as a cornerstone for improving the security environment. Enhancing the security environment through ongoing employee education and training is crucial for fostering consumer trust and enabling seamless growth within the industry. By adopting a proactive approach to cybersecurity, the food industry can ensure the sustainability and reliability of its operations in the face of evolving cyber threats.

This review paper provides a literature review of predictive methods and cybersecurity frameworks essential to safeguard Industry 4.0 manufacturing systems against cyber threats. The review focuses on two key areas: the prediction method and the data used for this prediction. These areas are critical for anticipating cyber threats and implementing effective countermeasures. They underscore the need to combine predictive analytics, proactive threat management, and comprehensive frameworks to safeguard against evolving cyber threats. This review assesses the current state and capability of predictive cybersecurity methods within the manufacturing sector, focusing specifically on their effectiveness in predicting threats. The review also identifies gaps in the current research and suggests directions for future studies to further enhance cybersecurity measures in these vital sectors. The study discusses the main features of each method and highlights promising avenues for future research and applications. This literature review is based on a review of relevant publications from 2010 to February 2025. The analysis reveals significant gaps, particularly in the proactive identification and handling of proactively identifying and handling emerging threats. The review concludes with an analysis of the practical implications of implementing a predictive cybersecurity method and outlines future research directions, underscoring the necessity of adaptive, intelligent cybersecurity solutions to defend the manufacturing industry against cybercrime.

The food industry stands as one of the most vital manufacturing sectors globally, with an ever-increasing reliance on digitalization and technology-driven processes. However, this advancement comes with an inherent risk of cyberattacks, encompassing data breaches and system disruptions, which can severely impact production and disrupt the entire food supply chain. Consequently, such cyberthreats can lead to consumer fear and mistrust, potentially tarnishing a company’s brand image. Additionally, the sector is becoming the focus of cyberthreat actors owing to the current crisis in Ukraine, revealing the severity of the rippling effects of these disruptions. This research aims to delve into the current perception of cyberthreats within the food industry, emphasizing the importance of cybersecurity and analyzing the measures taken by stakeholders to mitigate the risks associated with cyberattacks. The findings reveal that although the food industry acknowledges the potential threats posed by inadequate cybersecurity measures, these risks are perceived as insignificant due to the unique nature of the industry. Moreover, an extensive literature review highlights that the food industry places great emphasis on adopting innovative information technologies to enhance operational efficiency and cost-effectiveness. However, it remains vulnerable to cyberattacks, necessitating continuous employee education and training to strengthen the security landscape. This holistic approach fosters a seamless, reliable, and sustainable growth environment for the industry. By analyzing the existing challenges and requirements, this study underscores the need for proactive measures to safeguard the food industry against cyberthreats. It emphasizes the significance of implementing robust cybersecurity protocols and cultivating a culture of awareness and preparedness within organizations. Furthermore, the research emphasizes the importance of employee education and training, equipping them with the necessary knowledge and skills to identify and mitigate potential cyber risks. In conclusion, while cognizant of the risks posed by cyberattacks, the food industry must prioritize cybersecurity measures to protect its production and supply chain. Enhancing the security environment through ongoing employee education and training is crucial for fostering consumer trust and enabling seamless growth within the industry. By adopting a proactive approach to cybersecurity, the food industry can ensure the sustainability and reliability of its operations in the face of evolving cyberthreats.