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DOI: 10.14569/IJACSA.2019.0100321
PDF

Cloud Server Security using Bio-Cryptography

Author 1: Zarnab Khalid
Author 2: Muhammad Rizwan
Author 3: Aysha Shabbir
Author 4: Maryam Shabbir
Author 5: Fahad Ahmad
Author 6: Jaweria Manzoor

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 3, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Data security is becoming more important in cloud computing. Biometrics is a computerized method of identifying a person based on a physiological characteristic. Among the features measured are our face, fingerprints, hand geometry, DNA etc. Biometric can fortify to store the cloud server using bio-cryptography. The Bio-cryptography key is used to secure the scrambled data in the cloud environment. The Bio-cryptography technique uses fingerprint, voice or iris as a key factor to secure the data encryption and decryption in the cloud server. In this paper, the security of the biometric system through cloud computing is discussed along with improvement regarding its performance to avoid the criminal to access the data. Biometric is a genuine feature for the cloud provider. Cryptography algorithm will be explained using blockchain technology to overcome security issues. The blockchain technology will provide more protection through cryptographic keys to secure biometric data.

Keywords: Cloud computing; biometrics; fingerprints; encryption and decryption methods; cryptography keys; bio-cryptography; blockchain

Zarnab Khalid, Muhammad Rizwan, Aysha Shabbir, Maryam Shabbir, Fahad Ahmad and Jaweria Manzoor, “Cloud Server Security using Bio-Cryptography” International Journal of Advanced Computer Science and Applications(IJACSA), 10(3), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100321

@article{Khalid2019,
title = {Cloud Server Security using Bio-Cryptography},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100321},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100321},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {3},
author = {Zarnab Khalid and Muhammad Rizwan and Aysha Shabbir and Maryam Shabbir and Fahad Ahmad and Jaweria Manzoor}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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