Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology
The Internet of Things (IoT) continues to attract attention in the context of computational resource growth. Various disciplines and fields have begun to employ IoT integration technologies in order to enable smart applications. The main difficulty in supporting industrial development in this scenar...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/15/5/178 |
| _version_ | 1797600011353063424 |
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| author | Ayodeji Falayi Qianlong Wang Weixian Liao Wei Yu |
| author_facet | Ayodeji Falayi Qianlong Wang Weixian Liao Wei Yu |
| author_sort | Ayodeji Falayi |
| collection | DOAJ |
| description | The Internet of Things (IoT) continues to attract attention in the context of computational resource growth. Various disciplines and fields have begun to employ IoT integration technologies in order to enable smart applications. The main difficulty in supporting industrial development in this scenario involves potential risk or malicious activities occurring in the network. However, there are tensions that are difficult to overcome at this stage in the development of IoT technology. In this situation, the future of security architecture development will involve enabling automatic and smart protection systems. Due to the vulnerability of current IoT devices, it is insufficient to ensure system security by implementing only traditional security tools such as encryption and access control. Deep learning and blockchain technology has now become crucial, as it provides distinct and secure approaches to IoT network security. The aim of this survey paper is to elaborate on the application of deep learning and blockchain technology in the IoT to ensure secure utility. We first provide an introduction to the IoT, deep learning, and blockchain technology, as well as a discussion of their respective security features. We then outline the main obstacles and problems of trusted IoT and how blockchain and deep learning may be able to help. Next, we present the future challenges in integrating deep learning and blockchain technology into the IoT. Finally, as a demonstration of the value of blockchain in establishing trust, we provide a comparison between conventional trust management methods and those based on blockchain. |
| first_indexed | 2024-03-11T03:42:26Z |
| format | Article |
| id | doaj.art-35b71fe186dc487e9b54052b36a3775a |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-11T03:42:26Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-35b71fe186dc487e9b54052b36a3775a2023-11-18T01:27:10ZengMDPI AGFuture Internet1999-59032023-05-0115517810.3390/fi15050178Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain TechnologyAyodeji Falayi0Qianlong Wang1Weixian Liao2Wei Yu3Department of Computer and Information Sciences, Towson University, Towson, MD 21252, USADepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USADepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USADepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USAThe Internet of Things (IoT) continues to attract attention in the context of computational resource growth. Various disciplines and fields have begun to employ IoT integration technologies in order to enable smart applications. The main difficulty in supporting industrial development in this scenario involves potential risk or malicious activities occurring in the network. However, there are tensions that are difficult to overcome at this stage in the development of IoT technology. In this situation, the future of security architecture development will involve enabling automatic and smart protection systems. Due to the vulnerability of current IoT devices, it is insufficient to ensure system security by implementing only traditional security tools such as encryption and access control. Deep learning and blockchain technology has now become crucial, as it provides distinct and secure approaches to IoT network security. The aim of this survey paper is to elaborate on the application of deep learning and blockchain technology in the IoT to ensure secure utility. We first provide an introduction to the IoT, deep learning, and blockchain technology, as well as a discussion of their respective security features. We then outline the main obstacles and problems of trusted IoT and how blockchain and deep learning may be able to help. Next, we present the future challenges in integrating deep learning and blockchain technology into the IoT. Finally, as a demonstration of the value of blockchain in establishing trust, we provide a comparison between conventional trust management methods and those based on blockchain.https://www.mdpi.com/1999-5903/15/5/178deep learningInternet of Things securitydistributed and decentralized system |
| spellingShingle | Ayodeji Falayi Qianlong Wang Weixian Liao Wei Yu Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology Future Internet deep learning Internet of Things security distributed and decentralized system |
| title | Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology |
| title_full | Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology |
| title_fullStr | Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology |
| title_full_unstemmed | Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology |
| title_short | Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology |
| title_sort | survey of distributed and decentralized iot securities approaches using deep learning and blockchain technology |
| topic | deep learning Internet of Things security distributed and decentralized system |
| url | https://www.mdpi.com/1999-5903/15/5/178 |
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