An efficient medical image encryption using hybrid DNA computing and chaos in transform domain
| Autor: | Aashiq Banu S, Sherin Fathima, B K Murthy, Vidhyadharini Balasubramanian, Dhivya Ravichandran, Rengarajan Amirtharajan |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
0206 medical engineering Biomedical Engineering Wavelet Analysis 02 engineering and technology Encryption 030218 nuclear medicine & medical imaging law.invention 03 medical and health sciences DICOM 0302 clinical medicine DNA computing law Nucleic Acids Bitwise operation Computer Security Block (data storage) Keyspace Shuffling Pixel business.industry DNA 020601 biomedical engineering Computer Science Applications business Algorithm Algorithms |
| Zdroj: | Medicalbiological engineeringcomputing. 59(3) |
| ISSN: | 1741-0444 |
| Popis: | In this growing era, a massive amount of digital electronic health records (EHRs) are transferred through the open network. EHRs are at risk of a myriad of security threats, to overcome such threats, encryption is a reliable technique to secure data. This paper addresses an encryption algorithm based on integer wavelet transform (IWT) blended with deoxyribo nucleic acid (DNA) and chaos to secure the digital medical images. The proposed work comprises of two phases, i.e. a two-stage shuffling phase and diffusion phase. The first stage of shuffling starts with initial block confusion followed by row and column shuffling of pixels as the second stage. The pixels of the shuffled image are circularly shifted bitwise at the first stage of diffusion to enhance the security of the system against differential attack. The second stage of diffusion operation is based on DNA coding and DNA XOR operations. The experimental analyses have been carried out with 100 DICOM test images of 16-bit depth to evaluate the strength of the algorithm against statistical and differential attacks. By the results, the maximum entropy has been obtained an average of 15.79, NPCR of 99.99, UACI of 33.31, and larger keyspace of 10140, which infer that our technique overwhelms various other state-of-the-art techniques. |
| Databáze: | OpenAIRE |
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