# Cybersecurity Risk Analysis in the IoT: A Systematic Review
## 3 Literature Review
### Future Trends  
Study [4] explored the cybersecurity challenges posed by the IoT and the potential role of artificial intelligence in addressing these challenges. Through a comprehensive literature review, it identified the key areas of concern and proposed strategies for enhancing IoT security using artificial intelligence. The study emphasized the need for continuous development of AI algorithms and highlighted the criminal motives behind IoT and AI-related cyberattacks. The research aimed to equip cybersecurity experts with effective techniques to secure IoT systems and foster a safer IoT environment. Study [6] discussed the cybersecurity concerns of vendors and consumers in light of the increasing use of IoT devices in our world. The study was an empirical paper, where the authors used data from a review of the related literature and tested two scenarios for different attacks. The main goal of this research was to identify the main IoT applications, as well as to analyze the issues challenging cybersecurity in the near future. The results of the paper showed that the tested scenarios revealed a high vulnerability of the IoT systems. Study [26] addressed security concerns in organizations working with information systems and extensively utilizing the IoT. It emphasized the importance of effective risk management due to inevitable risk factors. The study identified the inadequacy of current risk assessment approaches for information systems and introduced an advanced algorithm, Improved Cuckoo Search (ICS), for information security risk assessment in a miniature IoT system. The empirical study used a simulation experiment to demonstrate the success of the proposed algorithm, although it is limited to one system. Study [27] discussed privacy violation issues in smart homes that arise from the use of IoT devices. It proposed an approach to help end-users lacking awareness of IoT risks in assessing and responding effectively to these risks. The study employed a survey to gather available risk approaches and implemented its model using a meta-modeling framework (ADOXX). The main limitation is the focus solely on home devices. The findings provided knowledge and awareness to end-users, empowering them to make informed decisions and be conscious of known and expected risks in their smart homes. Study [28] discussed the H2020 European research project GHOST, Safe-Guarding Home IoT Environments with Personalized Realtime Risk Control. The main goal of the research was to introduce the GHOST security framework for smart homes and explore the main issues with its cybersecurity. This article is considered a practical study, adopting the methodology of an architecture analysis with real-life trials that show the capabilities of the framework. The study results showed that real-life trials provide crucial feedback on the practicality and authentication of the system in reasonable cybersecurity circumstances. Study [29] discussed a comprehensive exploration of the IoT cyber risk in Industry 4.0. The study type is a case study, however, the methodology being used was a literature review survey in addition to a case study to extract novel perspectives for the evaluation of the economic impacts of IoT cyber risks, using the grounded theory approach. The main goal of the research article was to narrate the qualitative case study results. Key results showed that, according to the revision undertaken, there was a proportionate deficiency in planning for disaster recovery. Study [30] discussed the rapid spread of cyber-physical systems and IoT use, which have resulted in different security issues. The main aim of this paper was the recognition of current IoT devices' security vulnerabilities, as well as promoting the development of low-cost IoT security methods. The article discussed two case studies, commercial and industrial IoT devices. Major results showed that both case studies had a high vulnerability to attacks and threats, and there should be an urgent solution before the wider spread of IoT devices in the next few years.