Abstract
Nowadays, healthcare has become an important area for the Internet of Things (IoT) to automate healthcare facilities to share and use patient data anytime and anywhere with Internet services. At present, the host-based Internet paradigm is used for sharing and accessing healthcare-related data. However, due to the location-dependent nature, it suffers from latency, mobility, and security. For this purpose, Named Data Networking (NDN) has been recommended as the future Internet paradigm to cover the shortcomings of the traditional host-based Internet paradigm. Unfortunately, the novel breed lacks a secure framework for healthcare. This article constructs an NDN-Based Internet of Medical Things (NDN-IoMT) framework using a lightweight certificateless (CLC) signature. We adopt the Hyperelliptic Curve Cryptosystem (HCC) to reduce cost, which provides strong security using a smaller key size compared to Elliptic Curve Cryptosystem (ECC). Furthermore, we validate the safety of the proposed scheme through AVISPA. For cost-efficiency, we compare the designed scheme with relevant certificateless signature schemes. The final result shows that our proposed scheme uses minimal network resources. Lastly, we deploy the given framework on NDN-IoMT.
Highlights
The Internet of Medical Things (IoMT) is an Internet of Things (IoT) subsidiary capable of compiling all medical things for collecting, analyzing, and exchanging patient-related data over the traditional IP-based Internet paradigm [1]
We provide a concrete construction for the proposed Named Data Networking (NDN)-IoMT scheme
We provide detailed security proof under the ROM, which shows that the given scheme can resist both Type − I(TI) and Type − II (TII) adversaries
Summary
The Internet of Medical Things (IoMT) is an IoT subsidiary capable of compiling all medical things for collecting, analyzing, and exchanging patient-related data over the traditional IP-based Internet paradigm [1]. The data such as respiration rate, blood pressure, electrocardiogram (ECG), and body temperature, etc., can be sensed by biomedical sensors and managed via edge devices. The edge devices are connected to gateways via short-distance wireless technologies such as WiFi, ZigBee, and Bluetooth Low Energy (BLE). BLE has robust features like low power consumption, unlicensed band, and moderate data rate, making it a highly desirable option for attaching wearable sensor nodes [4]. IoMT exchanges data using conventional models and protocols with the risks allied with mobility, privacy, and security
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