A Novel Medical Image Signcryption Scheme Using TLTS and Henon Chaotic Map

Abstract

In tele-medicine, images based on patient diagnostic tests and reports are usually required to broadcast securely so that recipient can receive them without any error. For the secure communication of sensitive medical data, there is a need of authenticated and unforgeable cryptosystem. In this paper, we propose a novel signcryption technique for medical images that fulfills the necessary security requirements of sensitive medical data during its communication. The design of novel medical image signcryption scheme is empowered by the combination strategy of hybrid cryptography. It employs a technique of public key cryptography furnished with elliptic curve cryptography for the generation of secret encryption key. The proposed scheme uses elliptic curve for signcryption purpose and chaotic maps for performing encryption of the medical images. It gives a combined mechanism of key exchange, digital signature and chaotic image encryption. Image encryption phase contains permutation and diffusion for pixel scrambling. The proposed image signcryption scheme provides confidentiality, authentication, integrity, unforgability, forward secrecy and non-repudiation. The use of chaos-based symmetric image encryption scheme shows good results for key space analysis, key sensitivity, correlation analysis, number of pixel change rate, unified average changing intensity, entropy analysis and histogram analysis. On the basis of the results obtained from all these analyses, we believe that the proposed medical image signcryption scheme is efficient and robust, providing good security for sensitive medical images.INDEX TERMS Authentication, chaotic communication, elliptic curves, image encryption, image signcryption, Henon map, logistic map, tent map. I. INTRODUCTIONDue to the advancement in tele-medicine field the security of medical images is becoming more important. With the use of modern computer based technology, health-care system is now revolutionizing. Recent advancements in public health-care system provide an easy way to access patient's health record, treatment history, and medicine used records through cloud storage for effective health delivery. The malicious activities on cyber infrastructure are increasing day by day, therefore the security requirements of health-care sector are also rising. Medical images are dominant part of health infrastructure. In e-health system DICOM (Digital images communication in medicine) is considered as standard (ISO 12052 [37], [38]) for medical imaging. It provides the details about the bio-medical structure of organ, being examined. Many advanced tools are invented for the diagnostic purpose of pre-medical analysis and examination using DICOM The associate editor coordinating the review of this manuscript and approving it for publication was Walid Al-Hussaibi .

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“…In the future, we intend to extend this work by multi-state synchronization with minimization of sum of control efforts and synchronization of chaotic systems with variable parameters. Secure communication can be employed in medical applications as well [ 41 ]. Medical data stored in hospitals contain significant information about the patients.…”

Particle Swarm Optimization Based Highly Nonlinear Substitution-Boxes Generation for Security Applications

“…The encryption speed performance is compared with other image encryption schemes in Table 8. The proposed encryption scheme offers great encryption quality and encryption time is considerably shorter than many of its contemporary schemes investigated in [56,[60][61][62][63][64][65]. Thus, the proposed S-boxes based encryption scheme is faster compared to many recent competitor schemes which make it suitable for real-time image encryption applications.…”

A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

“…Henon map is a two-dimensional, reversible, discrete, and nonlinear chaotic map [30]. Henon map transforms a point ( , ) into ( +1 , +1 ) by equation 1.…”

“…The behavior of the Henon map depends on the value of and b. For a ϵ (0.54, 2), and b ϵ (0, 1), it shows chaotic behavior [30,31]. Due to the fact that this paper uses Henon map for confusion phase and changing the coordinates of the image pixels, so for the N×N image:…”

“…Where is the control parameter also known as bifurcation parameter. According to the bifurcation diagram of Logistic map, when is in the range of [0.9, 1], the map will behave chaotically [30]. 0 ϵ (0, 1) is initial value for .…”