Encrypted Biography of Biomedical Image - a Pentalayer Cryptosystem on FPGA
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/02/15
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Indian UGC (journal)
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Refrences54
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Citations25
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Dhivya Ravichandran
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Sundararaman Rajagopalan ORCID (unauthenticated)
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Har Narayan Upadhyay
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John Bosco Balaguru Rayappan
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Rengarajan Amirtharajan
Cite
Ravichandran, Dhivya, et al. “Encrypted Biography of Biomedical Image - a Pentalayer Cryptosystem on FPGA”. Journal of Signal Processing Systems, vol. 91, no. 5, 2018, pp. 475-01, https://doi.org/10.1007/s11265-018-1337-z.
Ravichandran, D., Rajagopalan, S., Upadhyay, H. N., Rayappan, J. B. B., & Amirtharajan, R. (2018). Encrypted Biography of Biomedical Image - a Pentalayer Cryptosystem on FPGA. Journal of Signal Processing Systems, 91(5), 475-501. https://doi.org/10.1007/s11265-018-1337-z
Ravichandran, Dhivya, Sundararaman Rajagopalan, Har Narayan Upadhyay, John Bosco Balaguru Rayappan, and Rengarajan Amirtharajan. “Encrypted Biography of Biomedical Image - a Pentalayer Cryptosystem on FPGA”. Journal of Signal Processing Systems 91, no. 5 (2018): 475-501. https://doi.org/10.1007/s11265-018-1337-z.
1.
Ravichandran D, Rajagopalan S, Upadhyay HN, Rayappan JBB, Amirtharajan R. Encrypted Biography of Biomedical Image - a Pentalayer Cryptosystem on FPGA. Journal of Signal Processing Systems. 2018;91(5):475-501.
Journal Categories
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
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Electronics
Technology
Engineering (General)
Civil engineering (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Security Analysis of AES and Enhancing its Security by Modifying S-Box with an Additional Byte | International journal of Computer Networks & Communications | 5 | 2017 | |
| An efficient and robust image encryption scheme for medical applications | Communications in Nonlinear Science and Numerical Simulation |
| 85 | 2015 |
| Image encryption based on the fractional Fourier transform over finite fields | Signal Processing |
| 62 | 2014 |
| Color image encryption using one-time keys and coupled chaotic systems | Signal Processing: Image Communication |
| 75 | 2014 |
| Medical image protection using genetic algorithm operations | Soft Computing |
| 42 | 2014 |
Refrences Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 17
is the most frequently represented among the references in this article. It primarily includes studies from Computers in Biology and Medicine and Signal Processing. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Parallel chaos-based image encryption algorithm: high-level synthesis and FPGA implementation | The Journal of Supercomputing |
| 2024 | |
| An optimized chaotic S-box for real-time image encryption scheme based on 4-dimensional memristive hyperchaotic map | Ain Shams Engineering Journal |
| 2 | 2024 |
Hardware study and implementation of image encryption algorithm based on a hyperchaotic key generator | Physica Scripta |
| 2024 | |
3D medical image encryption algorithm using biometric key and cubic S-box | Physica Scripta |
| 2024 | |
| Reconfigurable color medical image encryptor using hardware accelerated Chao(S)-box triplets | Journal of Real-Time Image Processing |
| 8 | 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 15
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled CR Assisted IE Guarded Authenticated Biomedical Image Transactions and was published in 2018. The most recent citation comes from a 2024 study titled 3D medical image encryption algorithm using biometric key and cubic S-box. This article reached its peak citation in 2020, with 7 citations. It has been cited in 18 different journals, 11% of which are open access. Among related journals, the Multimedia Tools and Applications cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.