An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network
The IoT refers to the interconnection of things to the physical network that is embedded with software, sensors, and other devices to exchange information from one device to the other. The interconnection of devices means there is the possibility of challenges such as security, trustworthiness, reli...
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| Format: | Article |
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MDPI AG
2022-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/2/572 |
| _version_ | 1797490489364054016 |
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| author | Aitizaz Ali Mohammed Amin Almaiah Fahima Hajjej Muhammad Fermi Pasha Ong Huey Fang Rahim Khan Jason Teo Muhammad Zakarya |
| author_facet | Aitizaz Ali Mohammed Amin Almaiah Fahima Hajjej Muhammad Fermi Pasha Ong Huey Fang Rahim Khan Jason Teo Muhammad Zakarya |
| author_sort | Aitizaz Ali |
| collection | DOAJ |
| description | The IoT refers to the interconnection of things to the physical network that is embedded with software, sensors, and other devices to exchange information from one device to the other. The interconnection of devices means there is the possibility of challenges such as security, trustworthiness, reliability, confidentiality, and so on. To address these issues, we have proposed a novel group theory (GT)-based binary spring search (BSS) algorithm which consists of a hybrid deep neural network approach. The proposed approach effectively detects the intrusion within the IoT network. Initially, the privacy-preserving technology was implemented using a blockchain-based methodology. Security of patient health records (PHR) is the most critical aspect of cryptography over the Internet due to its value and importance, preferably in the Internet of Medical Things (IoMT). Search keywords access mechanism is one of the typical approaches used to access PHR from a database, but it is susceptible to various security vulnerabilities. Although blockchain-enabled healthcare systems provide security, it may lead to some loopholes in the existing state of the art. In literature, blockchain-enabled frameworks have been presented to resolve those issues. However, these methods have primarily focused on data storage and blockchain is used as a database. In this paper, blockchain as a distributed database is proposed with a homomorphic encryption technique to ensure a secure search and keywords-based access to the database. Additionally, the proposed approach provides a secure key revocation mechanism and updates various policies accordingly. As a result, a secure patient healthcare data access scheme is devised, which integrates blockchain and trust chain to fulfill the efficiency and security issues in the current schemes for sharing both types of digital healthcare data. Hence, our proposed approach provides more security, efficiency, and transparency with cost-effectiveness. We performed our simulations based on the blockchain-based tool Hyperledger Fabric and OrigionLab for analysis and evaluation. We compared our proposed results with the benchmark models, respectively. Our comparative analysis justifies that our proposed framework provides better security and searchable mechanism for the healthcare system. |
| first_indexed | 2024-03-10T00:33:44Z |
| format | Article |
| id | doaj.art-bb5b9762660741f388cd508199895288 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T00:33:44Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bb5b9762660741f388cd5081998952882023-11-23T15:20:53ZengMDPI AGSensors1424-82202022-01-0122257210.3390/s22020572An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural NetworkAitizaz Ali0Mohammed Amin Almaiah1Fahima Hajjej2Muhammad Fermi Pasha3Ong Huey Fang4Rahim Khan5Jason Teo6Muhammad Zakarya7School of Information Technology, Monash University, Jalan Lagoon Selatan, Bandar Sunway, Subang Jaya 47500, MalaysiaDepartment of Computer Networks and Communications, College of Computer Science and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi ArabiaDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaSchool of Information Technology, Monash University, Jalan Lagoon Selatan, Bandar Sunway, Subang Jaya 47500, MalaysiaSchool of Information Technology, Monash University, Jalan Lagoon Selatan, Bandar Sunway, Subang Jaya 47500, MalaysiaFaculty of Computing and Informatics, University Malasia Sabah, Jalan UMS, Kota Kinabalu 88400, MalaysiaFaculty of Computing and Informatics, University Malasia Sabah, Jalan UMS, Kota Kinabalu 88400, MalaysiaDepartment of Computer Science, Abdul Wali Khan University, Mardan 23200, PakistanThe IoT refers to the interconnection of things to the physical network that is embedded with software, sensors, and other devices to exchange information from one device to the other. The interconnection of devices means there is the possibility of challenges such as security, trustworthiness, reliability, confidentiality, and so on. To address these issues, we have proposed a novel group theory (GT)-based binary spring search (BSS) algorithm which consists of a hybrid deep neural network approach. The proposed approach effectively detects the intrusion within the IoT network. Initially, the privacy-preserving technology was implemented using a blockchain-based methodology. Security of patient health records (PHR) is the most critical aspect of cryptography over the Internet due to its value and importance, preferably in the Internet of Medical Things (IoMT). Search keywords access mechanism is one of the typical approaches used to access PHR from a database, but it is susceptible to various security vulnerabilities. Although blockchain-enabled healthcare systems provide security, it may lead to some loopholes in the existing state of the art. In literature, blockchain-enabled frameworks have been presented to resolve those issues. However, these methods have primarily focused on data storage and blockchain is used as a database. In this paper, blockchain as a distributed database is proposed with a homomorphic encryption technique to ensure a secure search and keywords-based access to the database. Additionally, the proposed approach provides a secure key revocation mechanism and updates various policies accordingly. As a result, a secure patient healthcare data access scheme is devised, which integrates blockchain and trust chain to fulfill the efficiency and security issues in the current schemes for sharing both types of digital healthcare data. Hence, our proposed approach provides more security, efficiency, and transparency with cost-effectiveness. We performed our simulations based on the blockchain-based tool Hyperledger Fabric and OrigionLab for analysis and evaluation. We compared our proposed results with the benchmark models, respectively. Our comparative analysis justifies that our proposed framework provides better security and searchable mechanism for the healthcare system.https://www.mdpi.com/1424-8220/22/2/572homomorphic encryptionblockchainsecurityhealthcare systemsmart contractsprivacy |
| spellingShingle | Aitizaz Ali Mohammed Amin Almaiah Fahima Hajjej Muhammad Fermi Pasha Ong Huey Fang Rahim Khan Jason Teo Muhammad Zakarya An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network Sensors homomorphic encryption blockchain security healthcare system smart contracts privacy |
| title | An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network |
| title_full | An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network |
| title_fullStr | An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network |
| title_full_unstemmed | An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network |
| title_short | An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network |
| title_sort | industrial iot based blockchain enabled secure searchable encryption approach for healthcare systems using neural network |
| topic | homomorphic encryption blockchain security healthcare system smart contracts privacy |
| url | https://www.mdpi.com/1424-8220/22/2/572 |
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