Abstract
Internet of Medical Things (IoMT) is becoming an essential part of remote health monitoring due to the evolution of medical wireless sensors and intelligent communication technologies. IoT-based healthcare applications are employed in the medical centers to provide continuous health monitoring of a patient. However, recent smart medical devices have limited resources to handle the huge amount of healthcare data. IoMT faces several challenging issues, like security, privacy, anonymity, and interoperability. In data aggregation and communication, the privacy and security of medical information is a demanding task. Therefore, we proposed a suitable scheme to overcome the limitations of existing research studies. This paper presents an Efficient and Secure Data Transmission and Aggregation (ESDTA) scheme to enhance aggregation efficiency and data security. Our proposed work provides secure data aggregation and data forwarding of healthcare parameter values by employing the Secure Message Aggregation (SMA) algorithm and Secure Message Decryption (SMD) algorithm at the Mobile Node (MN) and Fog Node (FN), respectively. From a security perspective, the proposed scheme preserves the data integrity and also protect against several security threats like data fabrication and replay attack. The proposed scenario is simulated through simulation tool NS 2.35. The simulation results prove that aggregation at the MN effectively reduces transmission and communication costs. Furthermore, the effective computation at the FN minimizes the storage and computational cost at the cloud server. Thus, the analysis of the proposed scheme shows the supremacy of our proposed work. We compare our scheme with other related secure data aggregation-based schemes in terms of communication cost, energy consumption, resilience, storage and computational cost.
Highlights
The Internet of Things (IoT) [1] is playing a significant part in wireless sensor networks such as remote monitoring and management
In the real-world scenario, the implementation of IoT in healthcare is presented by a particular category that is usually known as the Internet of Medical Things (IoMT)
Results illustrate that the proposed scheme archives 3%, 5%, 6%, and 23% less communication cost in terms of energy as compared to Efficient Health Data Aggregation (EHDA), Secure Privacy Preserved Data Aggregation (SPPDA), Anonymous PrivacyPreserving scheme with Authentication (APPA), and ASAS, respectively
Summary
The Internet of Things (IoT) [1] is playing a significant part in wireless sensor networks such as remote monitoring and management. It processes the data and predicts intelligent decisions to effectively control the critical condition of the patient In this context, continuous connectivity of smart devices with internet enhances the chance of various security attacks [10]. In remote monitoring of patient health, data aggregation is a primary research topic for efficient data transmission. In this scenario, security is becoming a primary concern for continuous observation of patient health conditions in IoMT [17]. Efficient data aggregation and security of patient data are a main challenging concern in IoT-enabled healthcare. We present an Efficient and Secure Data Transmission and Aggregation (ESDTA) scheme for a remote health monitoring system.
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