An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework
Abstract Security in e-healthcare applications such as Telemedicine is crucial in safeguarding patients’ sensitive data during transmission. The proposed system measures the patient’s health parameters, such as body temperature and pulse rate, using LM35 and pulse sensors, respectively. The sensor d...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-85539-5 |
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| author | Dhivya Ravichandran W. Sylvia Lilly Jebarani Hemalatha Mahalingam Padmapriya Velupillai Meikandan Padmapriya Pravinkumar Rengarajan Amirtharajan |
| author_facet | Dhivya Ravichandran W. Sylvia Lilly Jebarani Hemalatha Mahalingam Padmapriya Velupillai Meikandan Padmapriya Pravinkumar Rengarajan Amirtharajan |
| author_sort | Dhivya Ravichandran |
| collection | DOAJ |
| description | Abstract Security in e-healthcare applications such as Telemedicine is crucial in safeguarding patients’ sensitive data during transmission. The proposed system measures the patient’s health parameters, such as body temperature and pulse rate, using LM35 and pulse sensors, respectively. The sensor data and the patient’s medical image are encrypted in the Raspberry Pi 3 B + processor using Python’s proposed text and medical image encryption scheme. The encrypted data is transmitted via the Thing Speak cloud and received by another Raspberry Pi at the receiver to decrypt the cipher data. The flask webserver can view the decrypted data by the doctor at the other end. This IoT implementation of secure Electronic Health Record (EHR) transmission employs text and medical image encryption schemes using a Combined Chaotic System (CCS). The CCS generates the chaotic key sequences to shuffle the medical image row-wise and column-wise. Then, selective shuffling between the cut-off points breaks the statistical relationship between the neighbouring pixels. Finally, the intra and inter-pixel diffusion is carried out using bit permutation and bit-wise XOR operation to create a highly random cipher image. The initial seed for inter-pixel diffusion is obtained from the hash of intra-pixel diffused images to resist chosen plain text and cipher text attacks. The efficiency of the developed medical image encryption algorithm is tested against various attack analyses. The results and the security analyses validate the effectiveness of the proposed scheme. |
| format | Article |
| id | doaj-art-24292acc56d9401b883cc7fa70dc70ee |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-24292acc56d9401b883cc7fa70dc70ee2025-02-09T12:34:51ZengNature PortfolioScientific Reports2045-23222025-02-0115112510.1038/s41598-025-85539-5An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare frameworkDhivya Ravichandran0W. Sylvia Lilly Jebarani1Hemalatha Mahalingam2Padmapriya Velupillai Meikandan3Padmapriya Pravinkumar4Rengarajan Amirtharajan5Department of ECE, Mepco Schlenk Engineering CollegeDepartment of ECE, Mepco Schlenk Engineering CollegeFaculty of Engineering, King Abdulaziz UniversityDepartment of Computer Sciences, Marquette UniversitySchool of Electrical and Electronics Engineering, SASTRA Deemed to be UniversitySchool of Electrical and Electronics Engineering, SASTRA Deemed to be UniversityAbstract Security in e-healthcare applications such as Telemedicine is crucial in safeguarding patients’ sensitive data during transmission. The proposed system measures the patient’s health parameters, such as body temperature and pulse rate, using LM35 and pulse sensors, respectively. The sensor data and the patient’s medical image are encrypted in the Raspberry Pi 3 B + processor using Python’s proposed text and medical image encryption scheme. The encrypted data is transmitted via the Thing Speak cloud and received by another Raspberry Pi at the receiver to decrypt the cipher data. The flask webserver can view the decrypted data by the doctor at the other end. This IoT implementation of secure Electronic Health Record (EHR) transmission employs text and medical image encryption schemes using a Combined Chaotic System (CCS). The CCS generates the chaotic key sequences to shuffle the medical image row-wise and column-wise. Then, selective shuffling between the cut-off points breaks the statistical relationship between the neighbouring pixels. Finally, the intra and inter-pixel diffusion is carried out using bit permutation and bit-wise XOR operation to create a highly random cipher image. The initial seed for inter-pixel diffusion is obtained from the hash of intra-pixel diffused images to resist chosen plain text and cipher text attacks. The efficiency of the developed medical image encryption algorithm is tested against various attack analyses. The results and the security analyses validate the effectiveness of the proposed scheme.https://doi.org/10.1038/s41598-025-85539-5EHRSecurityRaspberry piMedical imagesEncryptionIoT |
| spellingShingle | Dhivya Ravichandran W. Sylvia Lilly Jebarani Hemalatha Mahalingam Padmapriya Velupillai Meikandan Padmapriya Pravinkumar Rengarajan Amirtharajan An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework Scientific Reports EHR Security Raspberry pi Medical images Encryption IoT |
| title | An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework |
| title_full | An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework |
| title_fullStr | An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework |
| title_full_unstemmed | An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework |
| title_short | An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework |
| title_sort | efficient medical data encryption scheme using selective shuffling and inter intra pixel diffusion iot enabled secure e healthcare framework |
| topic | EHR Security Raspberry pi Medical images Encryption IoT |
| url | https://doi.org/10.1038/s41598-025-85539-5 |
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