Manuscript Number : IJSRSET173311
Improved Data Security System Using Hybrid Cryptosystem
Authors(3) :-Olatunde Yusuf Owolabi, P. B. Shola, Muhammed Besiru Jibrin
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
Algorithm, Ciphertext, Encryption, Decryption, El-gamal, Blowfish
Publication Details
Published in :
Volume 3 | Issue 3 | May-June 2017 Article Preview
Computer Science Department, University of Ilorin, Ilorin, Kwara State, Nigeria
P. B. Shola
Computer Science Department, University of Ilorin, Ilorin, Kwara State, Nigeria
Muhammed Besiru Jibrin
Computer Science Department, Federal University Kashere, Gombe State, Nigeria
Date of Publication :
2017-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
90-93
Manuscript Number :
IJSRSET173311
Publisher : Technoscience Academy
Journal URL :
http://ijsrset.com/IJSRSET173311