Abstract
Technology known as the Industrial Internet of Things (IIoT) is becoming more important to businesses as a means of boosting productivity and making more educated decisions about their operations. Despite the fact that connected environments provide significant advantages to companies, users of IIoT are especially susceptible to incursions on account of a few key characteristics. To begin, there will be an increase in the number of entry points into industrial systems when there are more linked endpoints. There is also the problem of functioning equipment being modified for applications it was never intended for, communication methods that are vulnerable, and software-hardware configurations that considerably vary across businesses and industries. The most current research in the area of Internet of Things (IIoT) cybersecurity is thoroughly reviewed in this article. Data protection through encryption techniques, using deep learning and machine learning approaches to detect attacks on the IIoT network, and implementing honeypot designs as a preventative measure to safeguard against data loss during potential cyberattacks are the main areas of focus for the research.
