Edge-based lightweight selective encryption scheme for digital medical images
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Edge-based lightweight selective encryption scheme for digital medical images Osama A. Khashan 1
& Muath AlShaikh
1
Received: 26 August 2019 / Revised: 28 April 2020 / Accepted: 24 June 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Securing digital medical images is increasingly becoming a major concern due to the rapid growth of the amount of medical images transferred over a network and stored on the web servers. However, the enormous size of multimedia and the huge volume of exchanging medical images have motivated the development of low computational complexity methods. This paper presents a lightweight selective encryption scheme to encrypt the edge maps of medical images. The edge map is firstly extracted by an edge detection method. Then, a chaotic map is used to generate a large key space. We propose a one-time pad algorithm to respectively encrypt the significant detected image blocks. The experimental results have proven that the proposed encryption scheme provides an acceptable percentage of encrypted image data. It can also effectively perform image encryption and decryption in a lightweight manner, which makes the scheme a good candidate for real time applications. Moreover, the security analysis demonstrates that our scheme has a robust resistance against various security attacks. Keywords Selective encryption . Medicalimagesecurity . Edge detection . One-timepad . Chaotic map
1 Introduction Digital medical images nowadays are playing an increasingly important role in the medical diagnosing and treating diseases. Vast amount of medical images is produced using multiple imaging technologies, called modalities, including X-Ray, CT, MRI, etc., which are sent via public or private networks for the medical diagnosis, monitoring, or various analyses ([32, * Osama A. Khashan [email protected] Muath AlShaikh [email protected]
1
College of Computing and Informatics, Saudi Electronic University, Riyadh 11673, Saudi Arabia
Multimedia Tools and Applications
46]). Unfortunately, these medical images may involve confidential information concerning patients, where exchanging these sensitive images over a network is vulnerable to numerous security threats and privacy violations. Faced with these growing threats, securing medical images is an important concern [25, 35]. Several technologies have been introduced to address the security threats and to protect all kinds of images, including medical images, such as data hiding, watermarking and encryption. Among these techniques, encryption is the effective solution to preserve the security of medical images by transforming them into unrecognized noise-like ones [19]. Traditional encryption algorithms, such as AES, DES, Blowfish, etc. are originally designed for textual data. Using traditional ciphers for image encryption, image data are transformed into a onedimensional binary bit stream, which extract plain image data bit by bit and then encrypt the resulting bit stream [21]. Although the security level provided by
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