Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images
The largest source of information in healthcare during the present epidemic is radiological imaging, which is also one of the most difficult sources to interpret. Clinicians today are forced to rely heavily on therapeutic image analysis that has been filtered and sometimes performed by worn-out radi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/14/1/47 |
| _version_ | 1827624753720983552 |
|---|---|
| author | Kiran H. L. Gururaj Meshari Almeshari Yasser Alzamil Vinayakumar Ravi K. V. Sudeesh |
| author_facet | Kiran H. L. Gururaj Meshari Almeshari Yasser Alzamil Vinayakumar Ravi K. V. Sudeesh |
| author_sort | Kiran |
| collection | DOAJ |
| description | The largest source of information in healthcare during the present epidemic is radiological imaging, which is also one of the most difficult sources to interpret. Clinicians today are forced to rely heavily on therapeutic image analysis that has been filtered and sometimes performed by worn-out radiologists. Transmission of these medical data increases in frequency due to patient overflow, and protecting confidentiality, along with integrity and availability, emerges as one of the most crucial components of security. Medical images generally contain sensitive information about patients and are therefore vulnerable to various security threats during transmission over public networks. These images must be protected before being transmitted over this network to the public. In this paper, an efficient SCAN and chaotic-map-based image encryption model is proposed. This paper describes pixel value and pixel position manipulation based on SCAN and chaotic theory. The SCAN method involves translating an image’s pixel value to a different pixel value and rearranging pixels in a predetermined order. A chaotic map is used to shift the positions of the pixels within the block. Decryption follows the reverse process of encryption. The effectiveness of the suggested strategy is evaluated by computing the histogram chi-square test, MSE, PSNR, NPCR, UACI, SSIM, and UQI. The efficiency of the suggested strategy is demonstrated by comparison analysis. The results of analysis and testing show that the proposed program can achieve the concept of partial encryption. In addition, simulation experiments demonstrate that our approach has both a faster encryption speed and higher security when compared to existing techniques. |
| first_indexed | 2024-03-09T12:16:06Z |
| format | Article |
| id | doaj.art-ad5045fcb2e1404a85da185dddf059d5 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-09T12:16:06Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-ad5045fcb2e1404a85da185dddf059d52023-11-30T22:46:35ZengMDPI AGInformation2078-24892023-01-011414710.3390/info14010047Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare ImagesKiran0H. L. Gururaj1Meshari Almeshari2Yasser Alzamil3Vinayakumar Ravi4K. V. Sudeesh5Department of ECE, Vidyavardhaka College of Engineering, Mysuru 570002, IndiaDepartment of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal 576104, IndiaDepartment of Diagnostic Radiology, College of Applied Medical Sciences, University of Ha’il, Ha’il 55476, Saudi ArabiaDepartment of Diagnostic Radiology, College of Applied Medical Sciences, University of Ha’il, Ha’il 55476, Saudi ArabiaCenter for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar 34754, Saudi ArabiaDepartment of ECE, Vidyavardhaka College of Engineering, Mysuru 570002, IndiaThe largest source of information in healthcare during the present epidemic is radiological imaging, which is also one of the most difficult sources to interpret. Clinicians today are forced to rely heavily on therapeutic image analysis that has been filtered and sometimes performed by worn-out radiologists. Transmission of these medical data increases in frequency due to patient overflow, and protecting confidentiality, along with integrity and availability, emerges as one of the most crucial components of security. Medical images generally contain sensitive information about patients and are therefore vulnerable to various security threats during transmission over public networks. These images must be protected before being transmitted over this network to the public. In this paper, an efficient SCAN and chaotic-map-based image encryption model is proposed. This paper describes pixel value and pixel position manipulation based on SCAN and chaotic theory. The SCAN method involves translating an image’s pixel value to a different pixel value and rearranging pixels in a predetermined order. A chaotic map is used to shift the positions of the pixels within the block. Decryption follows the reverse process of encryption. The effectiveness of the suggested strategy is evaluated by computing the histogram chi-square test, MSE, PSNR, NPCR, UACI, SSIM, and UQI. The efficiency of the suggested strategy is demonstrated by comparison analysis. The results of analysis and testing show that the proposed program can achieve the concept of partial encryption. In addition, simulation experiments demonstrate that our approach has both a faster encryption speed and higher security when compared to existing techniques.https://www.mdpi.com/2078-2489/14/1/47encryptionSCANchaotic mapmedical images |
| spellingShingle | Kiran H. L. Gururaj Meshari Almeshari Yasser Alzamil Vinayakumar Ravi K. V. Sudeesh Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images Information encryption SCAN chaotic map medical images |
| title | Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images |
| title_full | Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images |
| title_fullStr | Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images |
| title_full_unstemmed | Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images |
| title_short | Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images |
| title_sort | efficient scan and chaotic map encryption system for securing e healthcare images |
| topic | encryption SCAN chaotic map medical images |
| url | https://www.mdpi.com/2078-2489/14/1/47 |
| work_keys_str_mv | AT kiran efficientscanandchaoticmapencryptionsystemforsecuringehealthcareimages AT hlgururaj efficientscanandchaoticmapencryptionsystemforsecuringehealthcareimages AT mesharialmeshari efficientscanandchaoticmapencryptionsystemforsecuringehealthcareimages AT yasseralzamil efficientscanandchaoticmapencryptionsystemforsecuringehealthcareimages AT vinayakumarravi efficientscanandchaoticmapencryptionsystemforsecuringehealthcareimages AT kvsudeesh efficientscanandchaoticmapencryptionsystemforsecuringehealthcareimages |