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Quantum Cryptography Security

Certificateless Bilinear Quantum Mutual Exclusive Signcryption for Data Security in Cloud

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Authors: Department of Computer Applications, Dr. N.G.P. Arts and Science College, Coimbatore, India., Kavitha. K*, Saravanan V, Department of Information Technology, Hindusthan College of Arts and Science, Coimbatore, India.

Year

2019

Paper ID

1913

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

230

Citations

0

Abstract

Signcryption perform both encryption and signature verification simultaneously with minimum computational time and overhead when compared to that of the traditional signature model. Certificateless Sigcryption rectifies issues corresponding to the key escrow problem and hence reducing the key management in the traditional key cryptography in Cloud environment. There has been some Certificateless Signcryption methods proposed, most of which are proved secured using the proxy pairing operations. However, with proxy pairing found to be computationally difficult in understanding and with the discrete operation reducing the advantages gained from smaller key size, data security is said to be compromised. To address this issue, in this work, a method called, Bilinear Quantum Mutual Exclusive Signcryption (BQ-MES) for data security in cloud environment is presented based on quantum principles. The new method inherits the security of bilinear mapping along with quantum, which possesses lower computation complexity than proxy operations, employed in signcrypting data in cloud environment. In the BQ-MES method, only a designated authorized cloud user recovers the data stored in the cloud via cloud service provider by verifying the validity of a signcrypted data. This is performed using Mutually Exclusive Probability model. Experimental works are conducted on the parameters such as computational time, computational overhead and data security rate. By evaluating the performance with related schemes, results show that the data stored in cloud environment is secured using BQ-MES method and computationally efficient.

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