Enabling Quantum Key Distribution on a Multi-Cloud Environment to Secure Distributed Data Lakes

Jose Lo Huang, Vincent Emeakaroha

2023

Abstract

Each day more and more data is produced by different sources including humans and machines, and they are stored mainly in Cloud Service Providers (CSP) in huge data storages known as big data or data lakes. Many situations warrant users to spread their data in a distributed way between the different CSP. When this happens, they have to relay the inter-cloud communication security to each cloud vendor. This can cause data leakage in the transmission channel thereby compromise information security. Quantum computing has shown some promises to address this issue. One well known algorithm in quantum cryptography is the Quantum Key Distribution (QKD) protocol. This enables the sender and receiver of a message to know when a third party eavesdropped any data from the insecure quantum channel. There are studies integrating this QKD protocol with cloud storage and data transmission inside one CSP. However, there is no research that studies the data lake security concern for distributed multi-cloud communications taking advantage of quantum mechanisms. This research proposal aims to address this gap in distributed data lake security by using the QKD protocol in the multi-cloud distributed data transmission. The achieved results show over 91% detection of eavesdropping cases and over 99% correct authorisation detection in multi-cloud environments.

Paper Citation

in Harvard Style

Lo Huang J. and Emeakaroha V. (2023). Enabling Quantum Key Distribution on a Multi-Cloud Environment to Secure Distributed Data Lakes. In Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-650-7, SciTePress, pages 78-89. DOI: 10.5220/0011993200003488

in Bibtex Style

@conference{closer23,
author={Jose Lo Huang and Vincent Emeakaroha},
title={Enabling Quantum Key Distribution on a Multi-Cloud Environment to Secure Distributed Data Lakes},
booktitle={Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2023},
pages={78-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011993200003488},
isbn={978-989-758-650-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Enabling Quantum Key Distribution on a Multi-Cloud Environment to Secure Distributed Data Lakes
SN - 978-989-758-650-7
AU - Lo Huang J.
AU - Emeakaroha V.
PY - 2023
SP - 78
EP - 89
DO - 10.5220/0011993200003488
PB - SciTePress