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Lecture notes in networks and systems

A Novel and Secure Approach for Quantum Key Distribution in a Cloud Computing Environment

Rajanikanth Aluvalu, Krishna Keerthi Chennam, V. Uma Maheswari, M. A. Jabbar

Published Oct 22, 2020• 6 citations
Publisher
DOI
10.1007/978-981-15-7421-4_25

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Cloud computing is an internet-based computing, where shared resources, software, and information are provided with consumers on-demand. They guarantee a way to share distributed resources and services that belong to different organizations. In order to build secure cloud environment, data security and cryptography must be assured to share data through distributed environment. So, this paper provides more flexibility and secured communication environment by deploying a new cryptographic service. This service entails both Quantum Key Distribution (QKD) and enhanced version of Advanced Encryption Standard (AES). Moreover, this service solves the key distribution and key management problems in cloud environment which emerged through the two implemented modes, on-line and off-line modes.
The increasing use of cloud computing has raised concerns about the security of sensitive data. Quantum computers pose a serious threat to the security of traditional encryption schemes, as they could be used to break these schemes in a relatively short amount of time. Quantum cryptography offers a promising solution to this problem, as it provides a secure way to exchange keys that cannot be broken by quantum computers. In this paper, we propose a novel data security scheme for cloud computing that uses quantum key distribution (QKD). The scheme uses a QKD protocol to establish a shared secret key between the cloud server and the client. This key is then used to encrypt the data before it is sent to the cloud server. The scheme also proposes a new method for verifying the integrity of the data after it has been decrypted. The proposed scheme is secure against both classical and quantum attacks. It is also efficient, as it does not require the transmission of large amounts of data. The scheme is also scalable, as it can be easily implemented in cloud computing environments.