Chaos Based Secure Medical Image Transmission Model for IoT- Powered Healthcare Systems. Issue 1 (January 2021)

• Record Type: Journal Article
• Authors: Rajendran, Sujarani; Doraipandian, Manivannan
• Is Part Of: IOP conference series. Volume 1022:Issue 1(2021)
• Publication Date: 2021-01
• Subjects: Health care system -- IOT application -- medical image -- diagnosis -- e-healthcare; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1022/1/012106
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Due to the extensive development of Internet of Things (IoT) in e-healthcare environment, security and integrity of the medical data especially medical images became a big issue. This paper proposes a chaotic security architecture for ensuring the security of the medical images during transmission and storage. The proposed model is built by comprising of three main stages. At first, message digest 5 algorithm is applied to the plain image for generating the seed key of Lorenz chaotic map. Subsequently Lorenz map is iterated to generate the chaotic key series utilized for further process. In second stage, dual confusion such as row-by-row and column-by-column confusion is executed on the plain image. At last, dual diffusion process is performed by applying binary reverse and compliment operation, in addition to that XOR operation is executed between diffused image and Lorenz chaotic key image. Simulation results and analysis of security level by applying different attacks indicates that the developed cryptosystem has the potential of satisfying the security requirements of IoT healthcare applications.