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

Satyabrat Rath, Jothi Ramalingam and Cheng-Chi Lee ()
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Satyabrat Rath: Department of Mathematical and Computational Sciences, NITK Surathkal, Mangaluru 575025, Karnataka, India
Jothi Ramalingam: Department of Mathematical and Computational Sciences, NITK Surathkal, Mangaluru 575025, Karnataka, India
Cheng-Chi Lee: Department of Library and Information Science, Fu Jen Catholic University, New Taipei City 24205, Taiwan

Mathematics, 2024, vol. 12, issue 5, 1-14

Abstract: 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.

Keywords: modular exponentiation; outsourcing; RSA algorithm; secure message communication; cloud computing (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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