Abstract
Smart and interconnected devices can generate meaningful patient data and exchange it automatically without any human intervention in order to realize the Internet of Things (IoT) in healthcare (HIoT). Due to more and more online security and data hijacking attacks, the confidentiality, integrity and availability of data are considered serious issues in HIoT applications. In this regard, lightweight block ciphers (LBCs) are promising in resource-constrained environment where security is the primary consideration. The prevalent challenge while designing an LBC for the HIoT environment is how to ascertain platform performance, cost, and security. Most of the existing LBCs primarily focus on text data or grayscale images. The main focus of this paper is about securing color images in a cost-effective way. We emphasis high confidentiality of color images captured by cameras in resource-constrained smartphones, and high confidentiality of sensitive images transmitted by low-power sensors in IoT systems. In order to reduce computational complexity and simulation time, the proposed Lightweight Symmetric Block Cipher (LSBC) exploits chaos-based confusion-diffusion operations at the inter-block level using a single round. The strength of LSBC is assessed by cryptanalysis, while it is ranked by comparing it to other privacy-preserving schemes. Our results show that the proposed cipher produces promising results in terms of key sensitivity and differential attacks, which proves that our LSBC is a good candidate for image security in HIoT.
Highlights
Internet-of-Things (IoT)-based solutions and applications are facilitating medical service providers to nurture the patients with accurate, improved and timely treatment services
This challenge can be minimized by deploying strong passwords suitable for IoT devices, which can be safely transmitted to the IoT cloud [1]
We considered three types of noise to quantify the robustness of PSNR including salt and pepper noise (SPN), speckle noise (SN), and Gaussian noise (GN)
Summary
Internet-of-Things (IoT)-based solutions and applications are facilitating medical service providers to nurture the patients with accurate, improved and timely treatment services. Hospitals can reduce system costs and errors through the timely intervention of doctors, accurate diagnosis. CMC, 2022, vol., no.1 and treatment, accurate data collection, and automated workflow of intelligent (Healthcare IoT) HIoT system. Sensitive data transmitted from IoT sensor nodes may be stolen by hackers and may be used to blackmail HIoT entities. This challenge can be minimized by deploying strong passwords suitable for IoT devices, which can be safely transmitted to the IoT cloud [1]
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