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<p>The rapid growth of mobile users has increased interest in secure frameworks for accessing e-health data on mobile devices. Wearable sensors monitor multiple health parameters, including heart rate, blood pressure, blood oxygen level, body temperature, etc. The proposed system follows a structured process that begins with patient registration<b>,</b> where patients securely enrol by providing their identity credentials and biometric data. Once registered, mutual authentication is performed between the patient and the cloud server using Elliptic Curve Cryptography (ECC) and a one-way hash function, ensuring that only authorized users can access healthcare services. After successful authentication, Homomorphic Elliptic Curve Cryptography (HECC) encrypts sensor data before transmission to the cloud, ensuring confidentiality and integrity. The&#xa0;cost of computation&#xa0;for the suggested framework is 0.1486&#xa0;s, which is lower than that of the present existing schemes. The average value of the correlation coefficient, approximately 0.036, indicates the&#xa0;cryptographic strength of the algorithm. The process of encryption and decryption took 0.5064&#xa0;s and 0.31&#xa0;s, respectively. The efficiency of the suggested Homomorphic ECC method&#xa0;is determined by evaluating it with the existing state-of-the-art cryptographic algorithm i.e. Diffie-Hellman(DH), Elliptic Curve Cryptography (ECC), Elliptic Curve Diffie-Hellman (ECDH) and Rivest-Shamir-Adleman (RSA) algorithms.</p>

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A secure framework for IoT-based medical sensors data using homomorphic elliptic curve cryptography

  • 期刊论文

  • 发表日期：

    2025年9月29日

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  • Salman Ali,
  • Faisal Anwer

摘要

The rapid growth of mobile users has increased interest in secure frameworks for accessing e-health data on mobile devices. Wearable sensors monitor multiple health parameters, including heart rate, blood pressure, blood oxygen level, body temperature, etc. The proposed system follows a structured process that begins with patient registration, where patients securely enrol by providing their identity credentials and biometric data. Once registered, mutual authentication is performed between the patient and the cloud server using Elliptic Curve Cryptography (ECC) and a one-way hash function, ensuring that only authorized users can access healthcare services. After successful authentication, Homomorphic Elliptic Curve Cryptography (HECC) encrypts sensor data before transmission to the cloud, ensuring confidentiality and integrity. The cost of computation for the suggested framework is 0.1486 s, which is lower than that of the present existing schemes. The average value of the correlation coefficient, approximately 0.036, indicates the cryptographic strength of the algorithm. The process of encryption and decryption took 0.5064 s and 0.31 s, respectively. The efficiency of the suggested Homomorphic ECC method is determined by evaluating it with the existing state-of-the-art cryptographic algorithm i.e. Diffie-Hellman(DH), Elliptic Curve Cryptography (ECC), Elliptic Curve Diffie-Hellman (ECDH) and Rivest-Shamir-Adleman (RSA) algorithms.