Implementation of Encryption and Data Hiding in E-Health Application

Author:

Saracevic Muzafer H1ORCID,Selimi Aybeyan2,Pepić Selver3

Affiliation:

1. University of Novi Pazar, Serbia.

2. International Vision University, North Macedonia

3. Higher Technical Machine School of Professional Studies in Trstenik, Serbia

Abstract

This chapter presents the possibilities of applying cryptography and steganography in design advanced methods of medical software. The proposed solution has two modules: medical data encryption and medical data hiding. In the first module for the encryption of patient data a Catalan crypto-key is used combined with the LatticePath combinatorial problem. In the second module for hiding patient data, the Catalan stego-key and medical image is used. The objective of the second part is to explain and investigate the existing author's method to steganography based on the Catalan numbers in the design of medical software. The proposed solution is implemented in the Java programming language. In the experimental part, cryptanalysis and steganalysis of the proposed solution were given. Cryptanalysis is based on time and storage complexity, leaking information and machine learning-based identification of the encryption method. Also, steganalysis is based on the amount of information per pixel in stego image, approximate entropy and bit distribution in stego-images.

Publisher

IGI Global

Reference30 articles.

1. Adamović, S., Šarac, M., Veinović, M., Jevremović, A., & Milosavljević, M. (2013). An add-on for networking CrypTool 2 simulation environments. Faculty of computing and informatics, Singidunum University, Belgrade, Serbia. (in Serbian)

2. Shared secret-based steganography for protecting medical data.;T.Ahmad;Proceedings of the 2014 International Conference on Computer, Control, Informatics and Its Applications (IC3INA),2014

3. Using Image Steganography for Providing Enhanced Medical Data security;M. U.Arslan;15th IEEE annual consumer communications & networking conference,,2018

4. A Security Model for Preserving the Privacy of Medical Big Data in a Healthcare Cloud Using a Fog Computing Facility With Pairing-Based Cryptography

5. DICOM and Radiology: Past, Present, and Future

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