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Cross layered cryptography based secure routing for IoT-enabled smart healthcare system

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Abstract

The Internet of Things (IoT) empowered smart city applications like e-healthcare received serious attention, especially in pandemic situations. Wireless Sensor Networks assisted IoT applications have suffered from challenges like security, privacy preservation, QoS, and network lifetime. Addressing these challenges has essential for IoT-enabled healthcare systems to protect the patient’s sensitive data from the different threats. We propose a novel methodology called Cross-Layer and Cryptography-based Secure Routing (CLCSR) protocol to perform attack detection, privacy preservations, and secure data transmission. The proposed CLCSR protocol consists of two phases: (1) the cross-layer mechanism of secure clustering and (2) lightweight cryptography for privacy preservation of users and data. After network deployment, we have designed secure and optimal CH selection by computing the cross-layer parameters. In the first phase, we propose a cross-layer probability model to correctly identify multi-layer security threats. This integrated process of attack detection and CH-selection improves the network performance. In the second phase, we focus on privacy preservation medical information and users in the network. To protect sensitive medical information and user identity, lightweight Elliptic Curve Cryptography (ECC) based authentication and authorization algorithms for privacy preservation. The hybrid encryption algorithm using 256 bit ECC public key proposed in CLCSR protocol followed by the signature verification. The data transmission phase uses the periodically computed cross-layer probability to select the relay node to reduce the data loss. We use Network Simulator (NS2) to implement and evaluate the CLCSR protocol along with state-of-art protocols. The simulation results show that the CLCSR protocol improves the performance compared to state-of-art protocols in terms of average throughput, Packet Delivery Ratio, average energy consumption, routing overhead, and cryptography time.

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  1. Department of E&TC, JSPM’S Rajarshi Shahu College of Engineering, Tathawade, Pune, 411033, India

    Ashwini Kore & Shailaja Patil

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  1. Ashwini Kore
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Correspondence to Ashwini Kore.

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Kore, A., Patil, S. Cross layered cryptography based secure routing for IoT-enabled smart healthcare system. Wireless Netw 28, 287–301 (2022). https://doi.org/10.1007/s11276-021-02850-5

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