Optimal Elliptic Curve Cryptography-Based Effective Approach for Secure Data Storage in Clouds

Anju Malik, Mayank Aggarwal, Bharti Sharma, Akansha Singh and Krishna Kant Singh
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Anju Malik: Uttarakhand Technical University, India
Mayank Aggarwal: Gurukul Kangri Vishwavidalaya, India
Bharti Sharma: DIT University, India
Akansha Singh: Department of CSE, ASET, Amity University, Noida, India
Krishna Kant Singh: Department of ECE, KIET Group of Institutions, Ghaziabad, India

International Journal of Knowledge and Systems Science (IJKSS), 2020, vol. 11, issue 4, 65-81

Abstract: With the rapid development of cloud advancement, a data security challenge has emerged. In this paper, a technique based on elliptical cryptography and cuckoo search algorithm is proposed. With this technique, data owners securely store their data files in the cloud server. Initially the user sends a file storage request to store a file in a cloud server provider (CSP). The input file is checked whether it is sensitive or non-sensitive by the user. If the file is sensitive, then it would be split and stored in different virtual machines (VMs), and if the file is non-sensitive, then it would be assigned in a single VM. This approach was used for the first time as per the survey. To add further security, the sensitive data retrieval needs an encryption process that is supported by the proposed algorithm. If the data owner stores the sensitive data to cloud server, the data owner's document is encrypted by the double encryption technique. Here RSA and optimal elliptic curve cryptography (OECC) algorithm is used to encrypt the document with high security. The authors have used cuckoo search algorithm to identify the optimal key in ECC. This paper has proposed a novel cryptography approach for delivering mass distributed storage by which user's original data cannot be directly reached by cloud operators. Hence, this research has proved that the proposed work will give better securable data storage solving the security issues.

Date: 2020
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