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Visual Protection Using RC5 Selective Encryption in Telemedicine
Intelligent Automation and Soft Computing ; 31(1):177-190, 2022.
Artigo em Inglês | Web of Science | ID: covidwho-1412309
ABSTRACT
The dissemination of the COVID-19 viruses now extends the usage of video consultations to share perspectives and virtual medical consultations, save expenses and health procedures, track the success of care proposals with detail, consistency, and ease from moment to time. The research aims to study the secur-ity of video consultations. We will also present the advantages and disadvantages of video consultations and the complications of their implementation. This paper mainly proposes a practical, high-efficiency video encoding technique for the new video encoding technique (HEVC) used in video consultations. The technology offered uses the RC5 block encryption algorithm for encrypting the sensitive bits of HEVC with low complexity, short encoding times in real-time implementa-tions, format-compliant HEVC, and constant bitrate. In addition, this paper pre-sents experimental results comparing the proposed HEVC RC5-based selective encryption (SE) algorithm with the other algorithms used in various operating modes using the Advanced Encryption Standard (AES). Also, this paper provides the security analysis of the proposed HEVC RC5-based SE algorithm for video consultation, including;the correlation analysis between the ciphered video and the original one, the histogram of the ciphered video, and the cipher cycle analysis. The security analysis results ensured that the proposed HEVC RC5-based SE algorithm for video consultation is safe and stable.

Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: Web of Science Idioma: Inglês Revista: Intelligent Automation and Soft Computing Ano de publicação: 2022 Tipo de documento: Artigo

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Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: Web of Science Idioma: Inglês Revista: Intelligent Automation and Soft Computing Ano de publicação: 2022 Tipo de documento: Artigo