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Fusion: Practice and Applications

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Fusion: Practice and Applications

Volume 16 , Issue 1 , PP: 152-170, 2024 | Cite this article as | XML | Html | PDF | Full Length Article

Personal Data Protection Model in IOMT-Blockchain on Secured Bit-Count Transmutation Data Encryption Approach

Sultan Almotairi 1 * , Santosh Reddy Addula 2 , Olayan Alharbi 3 , Zaid Alzaid 4 , Yasser M. Hausawi 5 , Jaber Almutairi 6

  • 1 Department of Computer Science, College of Computer and Information Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia - (almotairi@mu.edu.sa)
  • 2 Department of Information Technology, University of the Cumberlands, Williamsburg, KY, USA - (santoshaddulait@gmail.com)
  • 3 Department of Information Systems, College of Computer and Information Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia - (o.alharbi@mu.edu.sa)
  • 4 Department of Computer Science, Faculty of Computer and Information Systems, Islamic University of Madinah, Medinah, 42351, Saudi Arabia - (zsalzaid@iu.edu.sa)
  • 5 IT Programs Center, Faculty of IT Department, Institute of Public Administration, Riyadh, 11141, Saudi Arabia - (Hawsawiy@ipa.edu.sa)
  • 6 Department of Computer Science, College of Computer Science and Engineering, Taibah University, Medina 42353, Saudi Arabia - (jalmutairi@taibahu.edu.sa)

    • Doi: https://doi.org/10.54216/FPA.160111

    Received: July 18, 2023 Revised: November 05, 2023 Accepted: April 28, 2024
    Abstract

    The Internet of Medical Things (IoMT) has paved the way for innovative approaches to collecting and managing medical data. With the large and sensitive medical data being processed hence, the need for a strong identity and privacy become necessary. The present paper suggests a comprehensive method of PriMedGuard which aims at protection of the personal medical information. The first stage will be data collection from devices and sensors, then data cleaning to transform the data into the required format. There is also a safety system in the system that registers and authenticates authorized entities as well as ETDO (Enhanced Tasmanian Devil Optimization algorithm) is used for generating asymmetric cryptographic keys. The data is encrypted using the Secure Bit-Count Transmutation (SBCT) Data Encryption Algorithm and then put in the locations provided by the InterPlanetary File System (IPFS), a decentralized and distributed storage system. A safe smart contract on the blockchain is created so that the data retrieval is secure and MedSecEnsemble Detection is proposed as an intrusion detection technique in the IoMT network. By using this method, data will stay available while at the same time integrity, confidentiality and protection against vulnerabilities are ensured. Hence, the Internet of Medical Things ecosystem will be secured from unauthorized access and possible security threats…

    Keywords :

    Medical data analysis , Cryptography , Encryption system , Internet of Things , Ensemble Model , Blockchain technology

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    Cite This Article As :
    Almotairi, Sultan. , Reddy, Santosh. , Alharbi, Olayan. , Alzaid, Zaid. , M., Yasser. , Almutairi, Jaber. Personal Data Protection Model in IOMT-Blockchain on Secured Bit-Count Transmutation Data Encryption Approach. Fusion: Practice and Applications, vol. , no. , 2024, pp. 152-170. DOI: https://doi.org/10.54216/FPA.160111
    Almotairi, S. Reddy, S. Alharbi, O. Alzaid, Z. M., Y. Almutairi, J. (2024). Personal Data Protection Model in IOMT-Blockchain on Secured Bit-Count Transmutation Data Encryption Approach. Fusion: Practice and Applications, (), 152-170. DOI: https://doi.org/10.54216/FPA.160111
    Almotairi, Sultan. Reddy, Santosh. Alharbi, Olayan. Alzaid, Zaid. M., Yasser. Almutairi, Jaber. Personal Data Protection Model in IOMT-Blockchain on Secured Bit-Count Transmutation Data Encryption Approach. Fusion: Practice and Applications , no. (2024): 152-170. DOI: https://doi.org/10.54216/FPA.160111
    Almotairi, S. , Reddy, S. , Alharbi, O. , Alzaid, Z. , M., Y. , Almutairi, J. (2024) . Personal Data Protection Model in IOMT-Blockchain on Secured Bit-Count Transmutation Data Encryption Approach. Fusion: Practice and Applications , () , 152-170 . DOI: https://doi.org/10.54216/FPA.160111
    Almotairi S. , Reddy S. , Alharbi O. , Alzaid Z. , M. Y. , Almutairi J. [2024]. Personal Data Protection Model in IOMT-Blockchain on Secured Bit-Count Transmutation Data Encryption Approach. Fusion: Practice and Applications. (): 152-170. DOI: https://doi.org/10.54216/FPA.160111
    Almotairi, S. Reddy, S. Alharbi, O. Alzaid, Z. M., Y. Almutairi, J. "Personal Data Protection Model in IOMT-Blockchain on Secured Bit-Count Transmutation Data Encryption Approach," Fusion: Practice and Applications, vol. , no. , pp. 152-170, 2024. DOI: https://doi.org/10.54216/FPA.160111

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