BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things
Numerous sensitive applications, such as healthcare and medical services, need reliable transmission as a prerequisite for the success of the new age of communications technology. Unfortunately, these systems are highly vulnerable to attacks like Sybil, where many false nodes are created and spread...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/9/4265 |
| _version_ | 1797601736634925056 |
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| author | Shayan E Ali Noshina Tariq Farrukh Aslam Khan Muhammad Ashraf Wadood Abdul Kashif Saleem |
| author_facet | Shayan E Ali Noshina Tariq Farrukh Aslam Khan Muhammad Ashraf Wadood Abdul Kashif Saleem |
| author_sort | Shayan E Ali |
| collection | DOAJ |
| description | Numerous sensitive applications, such as healthcare and medical services, need reliable transmission as a prerequisite for the success of the new age of communications technology. Unfortunately, these systems are highly vulnerable to attacks like Sybil, where many false nodes are created and spread with deceitful intentions. Therefore, these false nodes must be instantly identified and isolated from the network due to security concerns and the sensitivity of data utilized in healthcare applications. Especially for life-threatening diseases like COVID-19, it is crucial to have devices connected to the Internet of Medical Things (IoMT) that can be believed to respond with high reliability and accuracy. Thus, trust-based security offers a safe environment for IoMT applications. This study proposes a blockchain-based fuzzy trust management framework (BFT-IoMT) to detect and isolate Sybil nodes in IoMT networks. The results demonstrate that the proposed BFT-IoMT framework is 25.43% and 12.64%, 12.54% and 6.65%, 37.85% and 19.08%, 17.40% and 8.72%, and 13.04% and 5.05% more efficient and effective in terms of energy consumption, attack detection, trust computation reliability, packet delivery ratio, and throughput, respectively, as compared to the other state-of-the-art frameworks available in the literature. |
| first_indexed | 2024-03-11T04:06:48Z |
| format | Article |
| id | doaj.art-589f32aa8bf64b1594f7b7eda7f34a0e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:06:48Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-589f32aa8bf64b1594f7b7eda7f34a0e2023-11-17T23:41:58ZengMDPI AGSensors1424-82202023-04-01239426510.3390/s23094265BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical ThingsShayan E Ali0Noshina Tariq1Farrukh Aslam Khan2Muhammad Ashraf3Wadood Abdul4Kashif Saleem5Department of Computer Sciences, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad 44000, PakistanDepartment of Avionics Engineering, Air University, Islamabad 44000, PakistanCenter of Excellence in Information Assurance, King Saud University, Riyadh 11653, Saudi ArabiaDepartment of Avionics Engineering, Air University, Islamabad 44000, PakistanDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaCenter of Excellence in Information Assurance, King Saud University, Riyadh 11653, Saudi ArabiaNumerous sensitive applications, such as healthcare and medical services, need reliable transmission as a prerequisite for the success of the new age of communications technology. Unfortunately, these systems are highly vulnerable to attacks like Sybil, where many false nodes are created and spread with deceitful intentions. Therefore, these false nodes must be instantly identified and isolated from the network due to security concerns and the sensitivity of data utilized in healthcare applications. Especially for life-threatening diseases like COVID-19, it is crucial to have devices connected to the Internet of Medical Things (IoMT) that can be believed to respond with high reliability and accuracy. Thus, trust-based security offers a safe environment for IoMT applications. This study proposes a blockchain-based fuzzy trust management framework (BFT-IoMT) to detect and isolate Sybil nodes in IoMT networks. The results demonstrate that the proposed BFT-IoMT framework is 25.43% and 12.64%, 12.54% and 6.65%, 37.85% and 19.08%, 17.40% and 8.72%, and 13.04% and 5.05% more efficient and effective in terms of energy consumption, attack detection, trust computation reliability, packet delivery ratio, and throughput, respectively, as compared to the other state-of-the-art frameworks available in the literature.https://www.mdpi.com/1424-8220/23/9/4265trustInternet of ThingsSybil attacklow power and lossy networksblockchain |
| spellingShingle | Shayan E Ali Noshina Tariq Farrukh Aslam Khan Muhammad Ashraf Wadood Abdul Kashif Saleem BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things Sensors trust Internet of Things Sybil attack low power and lossy networks blockchain |
| title | BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things |
| title_full | BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things |
| title_fullStr | BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things |
| title_full_unstemmed | BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things |
| title_short | BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things |
| title_sort | bft iomt a blockchain based trust mechanism to mitigate sybil attack using fuzzy logic in the internet of medical things |
| topic | trust Internet of Things Sybil attack low power and lossy networks blockchain |
| url | https://www.mdpi.com/1424-8220/23/9/4265 |
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