A Secure Framework for IoT Healthcare Data Using Hybrid Encryption

Sameen Fatima, Shafiq Hussain, Nimra Shahzadi, Badar ul Din, Waseem Sajjad, Yasir Saleem, Muhammad Aun · 2022

Internet of Things (IoT) plays a vital role in the growth of medical healthcare industry. Therefore, to secure the medical data as well as privacy of users is of major concern. In this paper a hybrid novel encryption technique is used to secure the medical data in IoT infrastructure. In this paper, hybrid encryption of Elliptic Curve Cryptography (ECC), Serpent and Advanced Encryption Standard (AES) is used to improve the security measures as well as data integrity of medical healthcare data. Security Analysis as well as performance comparisons are illustrated in this paper to prove the efficiency of proposed method. It is clearly shown in results that the proposed hybrid encryption method is more efficient than the state-of-art method.

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