Mathematics (Feb 2024)

On Efficient Parallel Secure Outsourcing of Modular Exponentiation to Cloud for IoT Applications

  • Satyabrat Rath,
  • Jothi Ramalingam,
  • Cheng-Chi Lee

DOI
https://doi.org/10.3390/math12050713
Journal volume & issue
Vol. 12, no. 5
p. 713

Abstract

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Modular exponentiation is crucial for secure data exchange in cryptography, especially for resource-constrained Internet of Things (IoT) devices. These devices often rely on third-party servers to handle computationally intensive tasks like modular exponentiation. However, existing outsourcing solutions for the RSA algorithm may have security vulnerabilities. This work identifies a critical flaw in a recent outsourcing protocol for RSA proposed by Hu et al. We demonstrate how this flaw compromises the security of the entire RSA system. Subsequently, we propose a robust solution that strengthens the RSA algorithm and mitigates the identified vulnerability. Furthermore, our solution remains resilient against existing lattice-based attacks. The proposed fix offers a more secure and efficient way for IoT devices to leverage the power of third-party servers while maintaining data integrity and confidentiality. An extensive performance evaluation confirms that our solution offers comparable efficiency while significantly enhancing security compared to existing approaches.

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