Enhancing Medical Image Security through Dual Cryptographic Paradigms: AES Symmetric Encryption and ECC Asymmetric Key Cryptography

Article Sidebar

Page Numbers: 623-640
Download PDF
Published: Sep 21, 2024
Digital Object Identifier: 10.58578/kijst.v1i2.3859
Save this to:
Save to Mendeley Download RIS

Article Metrics:
Viewed: 257 times
Downloaded: 218 times
Article can trace at:

Author Fee:
Free Publication Fees for Foreign Researchers (USD 0.00)
Check for article on SINTA:

LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers

Connected Papers:
Connected Papers

Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.

Authors:
Hambali Moshood A1, Olasupo Yunusa A2, Umar Shehu3
Copyright :

Authors retain copyright and grant the journal right of first publication.


Main Article Content

Hambali Moshood A
Federal University Wukari, Taraba State, Nigeria
Olasupo Yunusa A
Federal University Wukari, Taraba State, Nigeria
Umar Shehu
Federal University Wukari, Taraba State, Nigeria

Abstract

The rapid advancements in medical imaging technologies have highlighted the urgent need for secure transmission methods to protect patient confidentiality and ensure data integrity. This study presents a hybrid encryption approach that integrates Elliptic Curve Cryptography (ECC) with the Advanced Encryption Standard (AES) to effectively encrypt and decrypt medical images. The research methodology includes dataset collection, the development of AES and ECC algorithms using the Tkinter GUI, and performance assessments. AES utilizes a 128-bit key length, allowing for quick encryption and decryption, while ECC enhances security through the use of a public-private key pair. The performance evaluation focuses on throughput in relation to image size and the time taken for encryption and decryption. This research work enhances data security in healthcare by providing a reliable and efficient model for the encryption and decryption of medical images.

Keywords:
Share Article:

Citation Metrics:

 Scopus



Downloads

Download data is not yet available.

Scopus Citation Data

Data source Crossref
1
citations
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Citing Documents
Crossref
  1. Anu Yadav, Prabha Sharma, Yogita Gigras (2026)
    A robust image encryption using dual-transform optical cryptography and hyper-elliptic curve cryptography
    International Journal of Information Technology, 18(1), 271
Similar Scopus Articles
Scopus
  1. Butai S.N. (2027)
    Enhancing Real-World Physics Problem-Solving Skills through Mind Map-Based Scaffolding: The Role of Metacomponents among Pre-University Students
    Asean Journal of Educational Research and Technology, 6(1), 35-50
  2. Zhang X. (2027)
    Forward and backward bifurcations with bubbles in a SIR model with limited medical resources
    Nonlinear Analysis Real World Applications, 93
  3. Gheni E.Z. (2027)
    Mechanical Behavior and Optimization of Graphene-Reinforced TPU/PDMS Composites for Biomedical Applications
    Asean Journal for Science and Engineering in Materials, 6(1), 23-36

Article Details

How to Cite
A, H. M., A, O. Y., & Shehu, U. (2024). Enhancing Medical Image Security through Dual Cryptographic Paradigms: AES Symmetric Encryption and ECC Asymmetric Key Cryptography. Kwaghe International Journal of Sciences and Technology, 1(2), 623-640. https://doi.org/10.58578/kijst.v1i2.3859

Creative Commons License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

References

Al-Haj, A., Abandah, G., and Hussein, N. (2015). Crypto-based algorithms for secured medical image transmission. IET Inf. Secur, 9, 365–373.
Cao, W., Zhou, Y., Chen, C.P., and Xia, L. (2017). Medical image encryption using edge maps. Signal Process, 132, 96–109
Chen, X., and Hu, C.J. (2017). Adaptive medical image encryption algorithm based on multiple chaotic mapping. Saudi J. Biol. Sci., 24, 1821–1827.
Dewangan, P. (2020). A review paper on network security and cryptography. International Journal of Science and Research (IJSR), 9(1).
Gbolagade Morufat D., Moshood A. Hambali, Oluwadamilare H. Abdulganiyu, E. Lawrence (2022). Enhance Facial Biometric Template Security using Advance Encryption Standard with Least Significant Bit, Journal of Computer Science and Engineering (JCSE), 3(2), 60-70.
Ghosh, P., Hasan, M. Z., Atik, S. T., & Jabiullah, M. I. (2019, December). A variable length key based cryptographic approach on cloud data. In 2019 International Conference on Information Technology (ICIT) (pp. 285-290). IEEE.
Hua, Z., Yi, S.; and Zhou, Y. (2018). Medical image encryption using high-speed scrambling and pixel adaptive diffusion. Signal Process, 144, 134–144.
Kamal, S. T., Hosny, K. M., Elgindy, T. M., Darwish, M. M., & Fouda, M. M. (2021). A New Image Encryption Algorithm for Grey and Color Medical Images. IEEE Access, 9, 37855- 37865
Laiphrakpam, D.S.; Khumanthem, M.S. (2017). Medical image encryption based on improved ElGamal encryption technique. Optik, 147, 88–102.
Magdy, M., Hosny, K. M., Ghali, N. I., & Ghoniemy, S. (2022). Security of medical images for telemedicine: a systematic review. Multimedia Tools and Applications, 81(18), 25101-25145.
Mallouli, F., Hellal, A., Saeed, N. S., & Alzahrani, F. A. (2019). A survey on cryptography: comparative study between RSA vs ECC algorithms, and RSA vs El-Gamal algorithms. IEEE, 173-176.
Mathur, P., Saxena, S., & Mishra, Y. (2023). The Evolution and Impact of Cryptography in Ensuring Data Privacy. International Journal of Scientific Research & Engineering Trends, 9(3), 709-711
Nematzadeh, H., Enayatifar, R., Motameni, H., Guimarães, F.G., and Coelho, V.N. (2018). Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices. Opt. Lasers Eng, 110, 24–32
Qadir, A. M., & Varol, N. (2019). A review paper on cryptography. IEEE, 1-6.

Explore Our Journals
Find the most suitable journal for your research. If this journal does not fully align with the scope of your manuscript, we invite you to explore our wider portfolio of journals covering diverse fields of study. Please select one of the journals below to identify the most appropriate publication platform for your work.