Securing of Cloud Storage Data Using Hybrid AES-ECC Cryptographic Approach

Authors

  • Sunil Kumar Dept. of Computer Science & Engineering, National Institute of Technology, Jamshedpur, India
  • Dilip Kumar Dept. of Computer Science & Engineering, National Institute of Technology, Jamshedpur, India

DOI:

https://doi.org/10.13052/jmm1550-4646.1921

Keywords:

Multimedia security, Symmetric Cryptography, AES, ECC, Asymmetric Cryptography, blowfish, cloud storage security and authentication.

Abstract

Internet has revolutionized the world in a way no one could have ever imagined. It paved the way for various different technologies, that have transformed the world exceptionally. Internet enabled cloud technology which provides cost-effective, scalable, on-demand computing resources with little to no downtime. Cloud storage allows its users to store and access private data from anywhere in the world without needing any high-end computing system. Cloud storage isn’t always secure, but that doesn’t imply it isn’t. The security of a data depends on the security policies followed by the provider along with the security of the communication channel via which the data is being sent. Encryption is used to obfuscate the data so that it can only be viewed when correct credentials, known as encryption keys, are provided. Following study proposes an encryption technique using ECC (Elliptic Curve Cryptography) along with AES (Advance Encryption Standard) to provide data confidentiality in an efficient way for securing data on cloud and hence, protect the personal information of user from any adversary. This new method is more effective, and the results are superior as a consequence.

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Author Biographies

Sunil Kumar, Dept. of Computer Science & Engineering, National Institute of Technology, Jamshedpur, India

Sunil Kumar Received a bachelor’s degree in computer engineering from RGPV University in 2009, a master’s degree in computer engineering from RGPV University in 2014, and respectively. He is currently pursuing the philosophy of doctorate degree at the Department of Computer Engineering, National Institute of Technology Jamshedpur. His research areas include Lightweight cryptography, cloud-IoT security, Machine learning, and social network analysis. He has been serving as an ad hoc reviewer for IGI global – IJISP journals more than 20 research paper.

Dilip Kumar, Dept. of Computer Science & Engineering, National Institute of Technology, Jamshedpur, India

Dilip Kumar is working as Assistant Professor at the National Institute of Technology Jamshedpur, India. Completed B. Tech (CSE) from BIT Sindri, Jharkhand, M. Tech (Computer Science) from NIT Rourkela, and Ph.D. from National Institute of Technology Jamshedpur, India, Research experience is around 23 years, area of research includes Optimization Techniques, Heuristic Techniques, Machine Learning, IoT, Cloud Computing.

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Published

2022-11-15

Issue

Section

Articles