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Improved Data Security System Using Hybrid Cryptosystem


Olatunde Yusuf Owolabi, P. B. Shola, Muhammed Besiru Jibrin
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As information is send and receive through the World Wide Web, it becomes subject to inspection and access by unauthorized parties from different part of the world since it contains vital and private content that can be use for fraudulent purpose. As a result, data privacy requires more attention in order to reduce data loss and pilfering. Cryptography is one of the popular means of protecting information in order to achieve data integrity, authentication, confidentiality, accountability, accuracy and digital signatures. Symmetric & Asymmetric are the two main categories of cryptography algorithms used to protect data using the desired key. Asymmetric algorithms have been analysed by researchers to be stronger compared to Symmetric algorithms but has higher time complexity. Previous research shows that the loophole of a particular method or algorithm can be solved or minimized by another method or algorithm. Therefore, this paper proposes a method to improve data security and reduce the encryption and decryption speed of El-gamal algorithm for large volume of data using hybridization of El-gamal and Blowfish algorithm. The expected outcome of the proposed method is to achieve a more secure encryption technique to protect vital documents with faster encryption and decryption speed compare to El-Gamal algorithm.

Olatunde Yusuf Owolabi, P. B. Shola, Muhammed Besiru Jibrin

Algorithm, Ciphertext, Encryption, Decryption, El-gamal, Blowfish

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Publication Details

Published in : Volume 3 | Issue 3 | May-June - 2017
Date of Publication Print ISSN Online ISSN
2017-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
90-93 IJSRSET173311   Technoscience Academy

Cite This Article

Olatunde Yusuf Owolabi, P. B. Shola, Muhammed Besiru Jibrin, "Improved Data Security System Using Hybrid Cryptosystem", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.90-93, May-June-2017.
URL : http://ijsrset.com/IJSRSET173311.php


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