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Secure Data Storage in Cloud Computing Using Code Based McEliece and NTRU Cryptosystems

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Abstract

Information must be kept private and secure because it is shared when people communicate online, making data protection essential. Data sharing is a significant element of this. Information can now be viewed by unauthorized interceptors due to the volume of data being transmitted online. Cryptography has been a key component of security systems. A blank message is encrypted during this process to add protection. An exact copy ensures sufficient protection of data in both conventional and quantum computing is urgently needed given the rise of quantum computing, as encryption is currently the most popular method of cloud data protection. Symmetric key cryptosystems, in comparison to public key cryptosystems, are faster because they only need a single private key to encode and decrypt data at both ends. Even so, it can be challenging to maintain security in a hostile environment while carrying out compatible and effective key distribution and secure private data transmission across organizations. In this paper comprehensive analysis of this cryptosystem is presented and describes the component-by-component approach used in its implementation. The different attacks on the code based McEliece cryptosystem are covered separately. The experimental results obtained using Goppa codes are also reported in the research where the simulations are carried out at different extension degrees. Using the results of the simulations, we came to our findings about the outcomes and the numerous implementation issues. In this work, a model is proposed that applies the Cloud customer data security using NTRUs (nth degree truncated polynomial ring units) together with a code based McEliece variation cryptosystem to secure access control data. To encrypt and decode data, the modified NTRU cryptosystem is employed, which is powered by lattice math. The process of multiplying larger numbers or conducting complex multiplication is known as lattice multiplication, which divides the process into smaller steps while maintaining an algorithm that is precisely the same as the traditional long multiplication method.

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Data Availability

The dataset generated and analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The research work was made possible with the support of GITAM University, Bengaluru, Karnataka, India, which provided the necessary facilities.

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  1. CSE, GITAM University, Bengaluru, Karnataka, India

    Geetha Rani E & Chetana Tukkoji

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  1. Geetha Rani E
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This research endeavor was made possible by the collaboration and contributions of all authors.

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Correspondence to Geetha Rani E.

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This article is part of the topical collection “Advances in Computational Approaches for Image Processing, Wireless Networks, Cloud Applications and Network Security” guest edited by P. Raviraj, Maode Ma and Roopashree H R.

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E, G.R., Tukkoji, C. Secure Data Storage in Cloud Computing Using Code Based McEliece and NTRU Cryptosystems. SN COMPUT. SCI. 5, 396 (2024). https://doi.org/10.1007/s42979-024-02736-1

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