Blockchain-based AI Methods for Managing Industrial IoT: Recent Developments, Integration Challenges and Opportunities
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arXiv
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| Format: | Preprint |
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2024
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| author | Rahman, Anichur Kundu, Dipanjali Debnath, Tanoy Rahman, Muaz Islam, Md. Jahidul |
| author_facet | Rahman, Anichur Kundu, Dipanjali Debnath, Tanoy Rahman, Muaz Islam, Md. Jahidul |
| contents | Currently, Blockchain (BC), Artificial Intelligence (AI), and smart Industrial Internet of Things (IIoT) are not only leading promising technologies in the world, but also these technologies facilitate the current society to develop the standard of living and make it easier for users. However, these technologies have been applied in various domains for different purposes. Then, these are successfully assisted in developing the desired system, such as-smart cities, homes, manufacturers, education, and industries. Moreover, these technologies need to consider various issues-security, privacy, confidentiality, scalability, and application challenges in diverse fields. In this context, with the increasing demand for these issues solutions, the authors present a comprehensive survey on the AI approaches with BC in the smart IIoT. Firstly, we focus on state-of-the-art overviews regarding AI, BC, and smart IoT applications. Then, we provide the benefits of integrating these technologies and discuss the established methods, tools, and strategies efficiently. Most importantly, we highlight the various issues--security, stability, scalability, and confidentiality and guide the way of addressing strategy and methods. Furthermore, the individual and collaborative benefits of applications have been discussed. Lastly, we are extensively concerned about the open research challenges and potential future guidelines based on BC-based AI approaches in the intelligent IIoT system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_12550 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Blockchain-based AI Methods for Managing Industrial IoT: Recent Developments, Integration Challenges and Opportunities Rahman, Anichur Kundu, Dipanjali Debnath, Tanoy Rahman, Muaz Islam, Md. Jahidul Cryptography and Security Currently, Blockchain (BC), Artificial Intelligence (AI), and smart Industrial Internet of Things (IIoT) are not only leading promising technologies in the world, but also these technologies facilitate the current society to develop the standard of living and make it easier for users. However, these technologies have been applied in various domains for different purposes. Then, these are successfully assisted in developing the desired system, such as-smart cities, homes, manufacturers, education, and industries. Moreover, these technologies need to consider various issues-security, privacy, confidentiality, scalability, and application challenges in diverse fields. In this context, with the increasing demand for these issues solutions, the authors present a comprehensive survey on the AI approaches with BC in the smart IIoT. Firstly, we focus on state-of-the-art overviews regarding AI, BC, and smart IoT applications. Then, we provide the benefits of integrating these technologies and discuss the established methods, tools, and strategies efficiently. Most importantly, we highlight the various issues--security, stability, scalability, and confidentiality and guide the way of addressing strategy and methods. Furthermore, the individual and collaborative benefits of applications have been discussed. Lastly, we are extensively concerned about the open research challenges and potential future guidelines based on BC-based AI approaches in the intelligent IIoT system. |
| title | Blockchain-based AI Methods for Managing Industrial IoT: Recent Developments, Integration Challenges and Opportunities |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2405.12550 |