Encrypt Medical Image using CSalsa20 Stream Algorithm
| Autor: | Sara Salman Qasim, Kian Raheem Qasim |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Information technology 02 engineering and technology Salsa20 Encryption Computer security computer.software_genre 01 natural sciences Field (computer science) Pathology and Forensic Medicine 010309 optics 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Data Protection Act 1998 020201 artificial intelligence & image processing The Internet Confidentiality business Stream cipher computer |
| Zdroj: | Medico-Legal Update. |
| ISSN: | 0974-1283 0971-720X |
| DOI: | 10.37506/mlu.v20i3.1571 |
| Popis: | As a result of the tremendous development in the field of information technology and the internet and exposure to a flood of violations to circumvent and steal information organized and unorganized. The urgent need for the emergence of data protection technologies and data encryption techniques. As a result of the tremendous development in the field of information technology and the internet and exposure to a flood of violations to circumvent and steal information organized and unorganized. The urgent need for the emergence of data protection technologies and data encryption techniques one of these methods, The Salsa20 encryption stream and all of its reduced versions Salsa20 / 7 and Salsa20 / 12 are among the fastest stream ciphers today. In this paper, the Salsa20 method is therefore improved by adding a new variable by using chaos theory which can achieve faster propagation than the original Salsa20 and has been applied by encrypting medical images that need confidentiality because some patients do not want anyone to know about a disease so the patient’s medical data is encrypted and no one can access it. This method has been tested and measured with the original Salsa20 with a series of tests. Most tests show that the proposed messy salsa is faster than the original salsa. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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