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Cloud based efficient authentication for mobile payments using key distribution method

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Abstract

The extensive usage of clever strategies fascinates numerous considerations on the innovation intended for mobile payment method in the background of cloud computing. Though, payment confidence and customer confidentiality still increase serious anxieties to the use of mobile payments. Subsequently, current authentication procedures for mobile payments moreover have high overhead on source inadequate smart scheme. These schemes cannot deliver customer secrecy in mobile payment. To resolve the tasks smartly we have present a cloud based efficient Authentication for mobile payments using key distribution method. Based on the certificate less proxy re signature system, we have designed a different mobile payment procedure which not only attains secrecy; it also achieves the storage complexity by consuming fewer amounts of data. In our proposed method, the efficiency is particularly enhanced by retaining cost of computation in the payment area. Furthermore, by seeing that the payment area the Merchant Server wishes to achieve computation for every payment operation, the impression of batch authentication was implemented to remove the difficulties faced when more number of customers use the Payment area so that Merchant Server can solve the scalability dispute. By our security analysis discussed in this paper, the proposed method is verified to be safe by using the prolonged CDH issues. Furthermore, the performance results displays the proposed method is reasonable and quick for the source inadequate smart mobiles in cloud.

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  1. Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Chennai, Tamilnadu, 603203, India

    A. Saranya & R. Naresh

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  1. A. Saranya
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  2. R. Naresh
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Saranya, A., Naresh, R. Cloud based efficient authentication for mobile payments using key distribution method. J Ambient Intell Human Comput (2021). https://doi.org/10.1007/s12652-020-02765-7

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