Enhanced, Modified and Secured RSA Cryptosystem based on n Prime Numbers and Offline Storage for Medical Data Transmission via Mobile Phone

Abstract

The transmission of medical data by mobile telephony is an innovation that constitutes the m-health or more generally e-health. This telemedicine handles personal data of patients who deserve to be protected when they are transmitted via the operator or private network, so that malicious people do not have access to them. This is where cryptography comes in to secure the medical data transmitted, while preserving their confidentiality, integrity and authenticity. In this field of personal data security, public key cryptography or asymmetric cryptography is becoming increasingly prevalent, as it provides a public key to encrypt the transmitted message and a second private key, linked to the first by formal mathematics, that only the final recipient has to decrypt the message. The RSA algorithm of River and Shamir provides this asymmetric cryptography based on a public key and a private key, on two prime numbers. However, the factorization of these two prime numbers to give the variable N of RSA can be discovered by a hacker and thus make the security of medical data vulnerable. In this article, we propose a more secured RSA algorithm with n primes and offline storage of the essential parameters of the RSA algorithm. We performed a triple encryption-decryption with these n prime numbers, which made it more difficult to break the factorization of the variable N. Thus, the key generation time is longer than that of traditional RSA.

Authors and Affiliations

Achi Harrisson Thiziers, Haba Cisse Théodore, Jérémie T. Zoueu, Babri Michel

Keywords

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  • EP ID EP665121
  • DOI 10.14569/IJACSA.2019.0101050
  • Views 72
  • Downloads 0

How To Cite

Achi Harrisson Thiziers, Haba Cisse Théodore, Jérémie T. Zoueu, Babri Michel (2019). Enhanced, Modified and Secured RSA Cryptosystem based on n Prime Numbers and Offline Storage for Medical Data Transmission via Mobile Phone. International Journal of Advanced Computer Science & Applications, 10(10), 353-360. https://europub.co.uk./articles/-A-665121