Data Storage Security in Mobile Cloud Computing (MCC) using Improved Blowfish Algorithm

Authors

  • Seada Abdu Wakene  School of Computing & Informatics, College of Engineering & Technology, Dilla University, Dilla, Ethiopia
  • Sisay Muleta Hababa  School of Computing & Informatics, College of Engineering & Technology, Dilla University, Dilla, Ethiopia
  • Gutema Seboka Daba  School of Computing & Informatics, College of Engineering & Technology, Dilla University, Dilla, Ethiopia
  • K S Ananda Kumar  School of Computing & Informatics, College of Engineering & Technology, Dilla University, Dilla, Ethiopia

DOI:

https://doi.org/10.32628/CSEIT217620

Keywords:

Blowfish algorithm, Cloud computing, Mobile cloud computing (MCC), Secured hash function.

Abstract

Mobile cloud computing (MCC) combines cloud computing and mobile computing to deliver vast computational resources to mobile consumers, network operators, and cloud computing providers. You may access your data from anywhere in the globe using any mobile device that is linked to the Internet. Cloud computing provides access to data in real-time whenever and wherever want. Any conventional mobile device can benefit from MCC's infrastructure, computational capacity, software, and platform services. Network security, web application security, data access, authentication, authorization, data confidentiality, and data breach are all concerns of MCC's security. Because mobile devices lack sufficient storage and processing power, their data storage capacity is limited. Users of mobile devices may inadvertently provide sensitive information over the network or through the application. Therefore, data security is the main concern for mobile device users. The objective of this paper is to find a solution that can enhance technical requirements with relation to user’s data security and privacy in mobile cloud computing. To achieve this improved blowfish encryption algorithm is used to encrypt each user’s data security and where the shared secret key is hash down using message digest called secured hash function. Hashing can increase the integrity and privacy of user data. The proposed algorithm is evaluated with a normal blowfish algorithm and 3DES with different parameters. Improved blowfish algorithm shows better performance than normal blowfish algorithm and 3DES. In this work, we have developed web-based application where the Amazon MySQL RDS database is used for data storage.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-12-30

Issue

Volume 7, Issue 6, November-December-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Seada Abdu Wakene, Sisay Muleta Hababa, Gutema Seboka Daba, K S Ananda Kumar, " Data Storage Security in Mobile Cloud Computing (MCC) using Improved Blowfish Algorithm" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 6, pp.100-111, November-December-2021. Available at doi : https://doi.org/10.32628/CSEIT217620