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Implementation of Encryption Technique for analysis of Image Transmission during COVID-19 Pandemic
12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1752365
ABSTRACT
The necessity of rapid and appropriate diagnosis is emphasized by the COVID 19 as a serious danger to world health. The interchange of patient data across health centers addresses the growth of the number of patients and minimizes needless trials. The sharing of medical information helps patient care to accelerate;thus the sharing of health data is a need nowadays. Due to the sharing of information online among healthcare professionals, safety remains a key concern. In a diagnostic method during the COVID-19 pandemic, computer tomography (CT) and X-ray photos play an essential role in the transmission of information to organizations. Steganography techniques of encryption and imaging can be used in order to secure transmission of COVID-19 pictures. This work proposes a novel encryption for COVID-19 diagnostic using the image steganography (EIS-SDT) paradigm for safe data transfer. For the breakdown of images, a discrete multiple-level transformer for EIS-SDT employs the technique for optimizing the pixel selection for MANTA RY Foraging. For secrete image encryption, the EIS-SDT approach employs a dual logistic chaotic map. Additional security for the steganography process is ensured by the implementation of the DLCM-based encryption mechanism. The EIS-SDT model is efficiently performed by thorough simulation results analysis, and the results are analyzed using many assessment parameters. The analysis showed that the EIS-SDT model exceeds existing technology considerably. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021 Year: 2021 Document Type: Article