A pairing-free data authentication and aggregation mechanism for Intelligent Healthcare System

• Published in: Computer communications Vol. 198; pp. 282 - 296
• Main Authors: Verma, Pooja, Gupta, Daya Sagar
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.01.2023
• Subjects: Data aggregation; Elliptic Curve Cryptography; Intelligent Healthcare System; Mutual authentication; Privacy; Security; Data aggregation; Privacy; Mutual authentication; Elliptic Curve Cryptography; Security; Intelligent Healthcare System
• ISSN: 0140-3664; 1873-703X
• DOI: 10.1016/j.comcom.2022.12.009

The Intelligent Healthcare System (IHS), a prominent medical area underlying the Internet of Things (IoT), might be deployed to gather and analyze health information across a range of sources to deliver improved as well as more economical medical treatment. Managing all the health-related information over the internet becomes a challenging chore as numerous people rely on it implicitly or explicitly. The significant challenges of IHS comprise the privacy and security along with protection of aggregation of patients’ data as sensors obtain and transmit patient’s health information. The few of surveyed existing works based on security and privacy goals for IHS are inefficient due to cumbersome of huge computational cost and non-resilience of different attacks. Therefore, to resolve such challenges: to provide the robustness, preserve security goals and improve the efficiency, we introduced an efficient data authentication and aggregation protocol for IHS without pairing and ID-based cryptography. Provable security has been provided with Random Oracle model (ROM), which proofs the robustness of the presented scheme. Thus, the defined security requirements of our proposed work have been achieved. The performance analysis through MIRACL shows that the scheme presented outperforms the similar prior mechanisms in terms of computational-communicational cost and energy overheads.