FastMIE: Faster medical image encryption without compromising security

• Published in: Measurement : journal of the International Measurement Confederation 2022-06, Vol.196, p.111175, Article 111175
• Main Authors: Priyanka, Kumar Singh, Amit
• Format: Article
• Language: English
• Subjects: Algorithms; Computational efficiency; Computing costs; Computing time; Cybersecurity; Data encryption; Data integrity; Discrete Wavelet Transform; Electronic health records; Encryption; Health care; Internet; Medical Image; Medical imaging; Randomized-Singular Value Decomposition (RSVD); Redundant Discrete Wavelet Transform (RDWT); Region of Interest; Segmentation; Singular value decomposition
• ISSN: 0263-2241; 1873-412X
• DOI: 10.1016/j.measurement.2022.111175

[Display omitted] •We develop a faster encryption algorithm for medical images without compromising security.•Combination of RDWT and RSVD is used to obtain a secure key.•A secure key and scrambled image is used to obtain the encrypted image.•Experimental results show the proposed algorithm is secure and faster as compared to the other schemes. In the Internet age, medical image security is very important in the field of e-healthcare. Several encryption algorithms have been developed, but they either do not achieve high security or they are computationally overhead for medical images, and thus may not be suitable for e-healthcare applications. In this paper, we develop a medical image encryption algorithm, namely FastMIE, that can provide security at low computational time. To achieve high security, we encrypt the segmented part of the image by using a key generated by redundant-discrete wavelet transform (RDWT) and randomized-singular value decomposition (RSVD) and scrambled segmented image. To reduce the computational cost, we encrypt only the significant part of the original-image instead of considering the whole image. Compared with the existing works, our FastMIE takes much less time in encrypting and has a greater ability of securing the image.