Self-diagnosis platform via IOT-based privacy preserving medical data
Healthcare is one of the application domains that use IoT technology, where sensors and IoT-enabled medical devices transmit data to healthcare specialists without the need for human intervention. The health records of previous patients are both very confidential and crucial to the identification of...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917422002707 |
| _version_ | 1811176093570301952 |
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| author | G. Muneeswari S. Sajithra Varun Ramakrishna Hegde S. Sharon Priya P. Josephin Shermila A. Prasanth |
| author_facet | G. Muneeswari S. Sajithra Varun Ramakrishna Hegde S. Sharon Priya P. Josephin Shermila A. Prasanth |
| author_sort | G. Muneeswari |
| collection | DOAJ |
| description | Healthcare is one of the application domains that use IoT technology, where sensors and IoT-enabled medical devices transmit data to healthcare specialists without the need for human intervention. The health records of previous patients are both very confidential and crucial to the identification of the disease for current patients. Therefore, it is important to fully utilize the records of previous patients without disclosing their personal data. This paper proposes an innovative Self Diagnosis Platform (SDP) that securely retrieves patients' records from past records without disclosing either the privacy of the patient or the record database. Initially, the patient device receives data from the sensors placed in the patient's body, which is then encrypted by using Edwards' Digital Signature Algorithm. The encrypted data is then sent to the Secure Disease Archive (SDA), which contains past records. Based on the patient's data, similar records will be retrieved from the database using the SDP. The suggested framework is compared with traditional methods in terms of encryption time, execution time, and end-to-end delay. Experimental results indicate that the suggested SDP technique achieves a better execution time of 30.63%, 27.48%, 22.07%, and 9.23% than LDQN, SE-AC, PMDA, and EPPDA methods. This system is more effectiveand secure for real-time applications. |
| first_indexed | 2024-04-10T19:47:32Z |
| format | Article |
| id | doaj.art-8ed156ce6c1f477d9762b69c26e51f34 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-04-10T19:47:32Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-8ed156ce6c1f477d9762b69c26e51f342023-01-29T04:21:56ZengElsevierMeasurement: Sensors2665-91742023-02-0125100636Self-diagnosis platform via IOT-based privacy preserving medical dataG. Muneeswari0S. Sajithra Varun1Ramakrishna Hegde2S. Sharon Priya3P. Josephin Shermila4A. Prasanth5School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India; Corresponding author.Department of Industrial Internet of Things, MVJ College of Engineering, Bangalore, IndiaDepartment of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysore, IndiaDepartment of Computer Science Engineering, B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, Tamil Nadu, IndiaDepartment of Artificial Intelligence and Data Science, R.M.K. College of Engineering and Technology, Thiruvallur, Tamil Nadu, IndiaDepartment of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, IndiaHealthcare is one of the application domains that use IoT technology, where sensors and IoT-enabled medical devices transmit data to healthcare specialists without the need for human intervention. The health records of previous patients are both very confidential and crucial to the identification of the disease for current patients. Therefore, it is important to fully utilize the records of previous patients without disclosing their personal data. This paper proposes an innovative Self Diagnosis Platform (SDP) that securely retrieves patients' records from past records without disclosing either the privacy of the patient or the record database. Initially, the patient device receives data from the sensors placed in the patient's body, which is then encrypted by using Edwards' Digital Signature Algorithm. The encrypted data is then sent to the Secure Disease Archive (SDA), which contains past records. Based on the patient's data, similar records will be retrieved from the database using the SDP. The suggested framework is compared with traditional methods in terms of encryption time, execution time, and end-to-end delay. Experimental results indicate that the suggested SDP technique achieves a better execution time of 30.63%, 27.48%, 22.07%, and 9.23% than LDQN, SE-AC, PMDA, and EPPDA methods. This system is more effectiveand secure for real-time applications.http://www.sciencedirect.com/science/article/pii/S2665917422002707Internet of thingsSelf-diagnosis platformSecurityEdward's digital signature algorithmEncryptionDecryption |
| spellingShingle | G. Muneeswari S. Sajithra Varun Ramakrishna Hegde S. Sharon Priya P. Josephin Shermila A. Prasanth Self-diagnosis platform via IOT-based privacy preserving medical data Measurement: Sensors Internet of things Self-diagnosis platform Security Edward's digital signature algorithm Encryption Decryption |
| title | Self-diagnosis platform via IOT-based privacy preserving medical data |
| title_full | Self-diagnosis platform via IOT-based privacy preserving medical data |
| title_fullStr | Self-diagnosis platform via IOT-based privacy preserving medical data |
| title_full_unstemmed | Self-diagnosis platform via IOT-based privacy preserving medical data |
| title_short | Self-diagnosis platform via IOT-based privacy preserving medical data |
| title_sort | self diagnosis platform via iot based privacy preserving medical data |
| topic | Internet of things Self-diagnosis platform Security Edward's digital signature algorithm Encryption Decryption |
| url | http://www.sciencedirect.com/science/article/pii/S2665917422002707 |
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