R&D: QMCDS Quantum Memory for Cloud Storage

Springer Nature has published, in Sentimental Analysis and Deep Learning, an article written by Ankit Sharma, Indra Kumar Sahu, and Manisha J. Nene, Department of Computer Science & Engineering, Defense Institute of Advanced Technology, Pune, India.

Abstract: “Cloud computing is emerging as a very prominent and promising technology with its unique characteristics like low cost, scalability, elasticity, and on demand services. On the other hand, quantum computing is also gaining increasing research attention due to its enormous computational power. The future will soon be defined by the combined capabilities of both technologies. The challenges of cloud computing like threats to confidentiality, integrity, authentication, availability, and authorization are deteriorating day by day. The cloud Storage as a Service also suffers from such threats and challenges. Due to the rapid advancements in cryptanalytical methodologies and techniques, existing solutions to secure cloud storage based on traditional cryptography techniques will no longer be viable. Henceforth, this research work proposes a Quantum Memory for Cloud Data Storage (QMCDS) as a solution after performing a detailed analysis on the difficulties and limitations in cloud storage. The proposed solution is based on Qubits and the same is also discussed here. The proposed research work is an effort to pave way towards developing solutions by keeping quantum computing at center in the cloud quantum computing technology.“