The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology
Abstract
Abstract Internet of Things (IoT) is one of the most rapidly used technologies in the last decade in various applications. The smart things are connected in wireless or wired for communication, processing, computing, and monitoring different real-time scenarios. The things are heterogeneous and have low memory, less processing power. The implementation of the IoT system comes with security and privacy challenges because traditional based existing security protocols do not suitable for IoT devices. In this survey, the authors initially described an overview of the IoT technology and the area of its application. The primary security issue CIA (confidentially, Integrity, Availability) and layer-wise issues are identified. Then the authors systematically study the three primary technology Machine learning(ML), Artificial intelligence (AI), and Blockchain for addressing the security issue in IoT. In the end, an analysis of this survey, security issues solved by the ML, AI, and Blockchain with research challenges are mention.
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Cites
Blockchain for IoT security and privacy: The case study of a smart home
Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2017.7917634 · Cited by 1,843
A Review on the Use of Blockchain for the Internet of Things
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2018) · IEEE Access · doi:10.1109/access.2018.2842685 · Cited by 1,078
Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
Hasan, M., Islam, M. M., Zarif, M. I. I., & Hashem, M. M. A. (2019) · Internet of Things · doi:10.1016/j.iot.2019.100059 · Cited by 841
Bubbles of Trust: A decentralized blockchain-based authentication system for IoT
Hammi, M. T., Hammi, B., Bellot, P., & Serhrouchni, A. (2018) · Computers & Security · doi:10.1016/j.cose.2018.06.004 · Cited by 691
Hassan, M. U., Rehmani, M. H., & Chen, J. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.02.060 · Cited by 520
Blockchain based searchable encryption for electronic health record sharing
Chen, L., Lee, W.-K., Chang, C.-C., Choo, K.-K. R., & Zhang, N. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.01.018 · Cited by 484
Securing the Internet of Things: Challenges, threats and solutions
Radoglou Grammatikis, P. I., Sarigiannidis, P. G., & Moscholios, I. D. (2019) · Internet of Things · doi:10.1016/j.iot.2018.11.003 · Cited by 308
Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking
Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286
Machine Learning Based Trust Computational Model for IoT Services
Jayasinghe, U., Lee, G. M., Um, T.-W., & Shi, Q. (2019) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2018.2839623 · Cited by 256
A machine learning based robust prediction model for real-life mobile phone data
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Cited by
Ahmad, T., Madonski, R., Zhang, D., Huang, C., & Mujeeb, A. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112128 · Cited by 711
Rahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing · doi:10.1007/s10586-022-03658-4 · Cited by 399
Abdullahi, M., Baashar, Y., Alhussian, H., Alwadain, A., Aziz, N., Capretz, L. F., & Abdulkadir, S. J. (2022) · Electronics · doi:10.3390/electronics11020198 · Cited by 361
A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems
Jeffrey, N., Tan, Q., & Villar, J. R. (2023) · Electronics · doi:10.3390/electronics12153283 · Cited by 160
A blockchain-based audit trail mechanism: design and implementation
Regueiro, C., Seco, I., Gutiérrez-Agüero, I., Urquizu, B., & Mansell, J. (2021) · Algorithms · doi:10.3390/a14120341 · Cited by 52
Metadata
- Authors
- Mohanta, B. K., Jena, D., Satapathy, U., & Patnaik, S.
- Venue
- Internet of Things
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 11
- Pages
- 100227
- ISSN
- 2542-6605 (ISSN-L)
- OpenAlex
- W3026150618
- Cited by
- 488
- References
- 11
- FWCI
- 64.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mohanta, B. K., Jena, D., Satapathy, U., & Patnaik, S. (2020). Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology. Internet of Things. https://doi.org/10.1016/j.iot.2020.100227
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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