Security and Privacy Concerns Associated with the Internet of Things(IoT) and the Role of Adapting Blockchain and Machine Learning - A Systematic Literature Review

The Internet of Things (IoT) is one of the most important technologies of our day, and it will continue to become more significant as more businesses realize the competitive advantages of having connected devices. Blockchain helps maintain correct data that is unaltered and permanent. At the same time, the Internet of Things (IoT), addresses hardware connected via the internet and may use machine learning to discover trends and produce accurate projections utilizing this data. Those three technologies have taken the place of the conventional methods that were previously employed for the design and architecture of new devices. Combining them yields a wide range of potential outcomes, some of which might result in the next great thing. We also contend that this convergence will speed up the development of autonomous models and information technology that aids companies in managing the security and privacy of their clients. We highlight and expose several challenges and upcoming research areas using machine learning algorithms and blockchain techniques to address security and privacy issues in the IoT space. In this paper, we thoroughly analyze the use of blockchain and machine learning technologies for IoT, focusing on security and privacy. Critical thoughtful writing has been heightened by examining research articles published in well-regarded magazines between 2018 and 2022. Finally, there are still challenges that can steer academics toward potential future advancements in IoT security and privacy.