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Top1. Introduction
The IIoT improves connection across many sectors, resulting in much more useful data and insight about processes. In many management domains including such smart electricity, sustainable city, healthcare, automated manufacturing, agribusiness, logistic, and transport, IIoT is being used to connect knowledge, services, as well as personnel for smart processes (Sun, et al., 2021; Zhou, et al., 2019; Nayak, et al., 2021). It communicates with such a wide range of sensors and supports vital infrastructure, necessitating a bigger network size (Singh and Jain 2022 ; Singh and Jain 2021) . The IIoT intends to create smart manufacturing items that enable technology infrastructure to communicate effectively with their clients and partners (Althobaiti, et al., 2021; Selim, et al., 2021; Kim, et al., 2020; Li, et al., 2021). Industrial 4.0 seeks to solve industry productivity challenges via the use of data-driven solutions and smart devices. Improved efficiency as well as improvements throughout production can indeed be achieved using this knowledge. This extended connection, nevertheless, exposes those linked devices to distinct cyber-threats. Cybercriminals have become more proficient as manufacturing sites become increasingly networked. The term “industrial control system” refers to the numerous types of control functions as well as integrated components used only to manage manufacturing processes. The ICS has indeed been subjected to an upsurge in cyber-attacks that also have resulted in a variety of problems. Safety precautions that are ineffective have such a negative effect on workers as well as the organisation. Production delays, damage to buildings, health and compensation expenditures, materials expenses, company setbacks, legal fees, and equipment and materials injury are just a few of the consequences. Intrusion detection systems (IDS) uncover security flaws in traffic on the network and network infrastructure. It can also be used to discover whether attackers commence exploring equipment, which would be the first step towards building trustworthy IIoT (Basheer, et al., 2021; Saigopal, et al., 2020; Koroniotis, et al., 2021; Wadsworth, et al., 2019). The IDS system involves gathering network activity, accounting records, log management, and information across network important aspects to determine whether the networking has any security vulnerabilities. The IDS approach for IIoT must be tailored towards the type of the instruments. To increase the efficiency of IIoT operations, deep learning approaches are employed alongside IoT. For next-generation IoT networks, it maintains the balance among effectiveness and computational complexity. Different studies have yielded a number of strategies for Intrusion detection systems in the workplace.