# Systematic Analysis of Risks in Industry 5.0 Architecture
## 5 Discussion  
The goal of the systematic literature review (SLR) carried out for this study was to explore and analyze the risks, threats, and challenges related to Industry 5.0 and its related fields. We have learned important things about the new risks and weaknesses in a variety of fields, such as data security, health, education, the environment, business, and mixed domains, through a thorough study of pertinent research studies as mentioned in Table 6 above. The results of the SLR are interpreted and analyzed in this discussion, with a focus on their implications for a more comprehensive understanding of risks in the context of Industry 5.0. This study's taxonomy as shown in Figure 9 above, in contrast to Industry 4.0, is primarily concerned with human-machine collaboration since, with humans returning to the game, there are greater risks involved in their training and adoption of new technology according to Figure 10.  
The concept of \"Industry 5.0\" is still being discussed and studied and is not yet extensively used [52]. In comparison to Industry 4.0, Industry 5.0 is still in an early stage, and there may still be questions regarding what it really involves and how it varies from Industry 4.0. It still has not attained the same degree of acceptance and recognition as Industry 4.0. Due to Industry 4.0's maturity and established principles, the body of research that is now available focuses mostly on it. There is a lack of comprehensive literature about Industry 5.0, and it has been difficult to locate relevant publications that are only concerned with this new idea. This paper's focus is on the risks discovered within the framework of Industry 4.0 to ensure a thorough review of risks and obstacles. IoT presents challenges in developing nations, especially in finding high-quality hardware, sensors, and devices for IoT 4.0 and 5.0 implementation. High costs and a lack of qualified individuals hinder industrial adoption of IoT and automation despite potential cost reductions. Manufacturing facilities that employ IoT in conjunction with blockchain technology to protect their privacy and security will have to deal with significant upfront expenditures and ongoing problems to build a block of transactions. Attacks on Internet of Things systems emphasize the necessity of thorough security designs, which include effective cryptography research and safe systems [24]. Industry 5.0's digital infrastructure is at risk from cyberattacks, posing risks to unauthorized access, data breaches, and industrial processes. Physical security threats, such as unauthorized access or equipment tampering, can also impact digital assets. Supply chain \begin{table}
\begin{tabular}{c c} \hline \hline
**Domains** & **Reference Studies** \\ \hline Data Security & [9; 32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49] \\ \hline Health & [46] \\ \hline Education & [34; 36; 50; 51] \\ \hline Environment & No related references. \\ \hline Business & [51; 52; 53; 55] \\ \hline Mixed domains & [51; 54; 56; 57] \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Risk Classification Based on Domains. disruptions due to natural disasters or geopolitical crises can cause critical component shortages, affecting production and financial losses. Industry 5.0 systems need robust supply chain plans, physical security, and cybersecurity measures to mitigate risks [31]. According to what has been observed so far, Industry 4.0 presents one of the biggest challenges for cyber security because it relies on IoT, cloud computing, AI, and other technologies that make systems and data vulnerable to attacks from malicious individuals. In light of this, Industry 5.0 also utilized these technologies, and cybersecurity threats are enormous. Unauthorized access to robots, the alteration of AI algorithms, or the interruption of human-machine communication are all examples of cybersecurity hazards.