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  Published Paper Details:

  Paper Title

ENCRYPTING BIOMETRIC FILE USING ENHANCED AES AND STORING ON THE CLOUD

  Authors

  Singampalli Gowthami,  Kezia Rani Badhiti

  Keywords

Raspberry Pi, AES Algorithm, PN Sequence generator

  Abstract


A biometric system is a technological system that uses information about a person (or other biological organism) to identify that person. Biometric systems rely on specific data about unique biological traits in order to work effectively. By using biometrics, it is possible to confirm or establish an individual's identity based on "who she is," rather than by "what she possess" (e.g., an ID card) or "what she remembers" (e.g., a password). This system is capable of capturing uni-modal biometric traits such as capturing finger-prints and sent them to the cloud by end-to-end encryption process. An enhanced encryption method with AES-256 algorithm is used for protecting the biometric traits on insecure communication path. The principal component of AES block cipher is the S-Box. To increase the difficulty of the system, AES is used in Round structure. The encrypted biometric information is stored on the cloud. The encrypted biometric image is converted into binary code and stored into the local database. This binary code is decrypted into original image. This local database is connected with cloud SQL.

  IJCRT's Publication Details

  Unique Identification Number - IJPUB1802043

  Paper ID - 185459

  Page Number(s) - 225 - 231

  Pubished in - Volume 6 | Issue 2 | April 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Singampalli Gowthami,  Kezia Rani Badhiti,   "ENCRYPTING BIOMETRIC FILE USING ENHANCED AES AND STORING ON THE CLOUD", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.225 - 231, April 2018, Available at :http://www.ijcrt.org/papers/IJPUB1802043.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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