Securing E-healthcare Data on the Internet Using Chaotic System-based Image Encryption
Mangal Deep GuptaIntroduction:
To ensure the security of e-healthcare data on the internet, the protection and access controls are compulsory, which may contain sensitive patient information. This manuscript proposed a method for securing e-healthcare data on the internet using chaotic system-based image encryption that enhances the security of medical images or data. Chen's chaotic PRNG is used in this method to develop the image encryption algorithm that encrypts the original images of patient information like “Baby gender discrimination: Boy”, “Baby gender discrimination: Girl”, “Brain CT scan”, “CT scan of Kidney diseases”, “X-Ray of the infected lung”, etc.
Methods:
Simulation of this encryption algorithm has been done on the MATLAB tool. To ensure the security strength of images of patient information, histogram analysis of original, encrypted, and decrypted images is present. To ensure the security strength of medical images, histogram analysis of original, encrypted, and decrypted images is presented.
Results:
Additionally, analyzing the histograms of the encrypted and decrypted medical images provides insights into the distribution of pixel intensities and the effectiveness of the encryption and decryption algorithms. Also, evaluated the Correlation Coefficient of Original Image, Correlation Coefficient of Encrypted Image, Number of Pixel Change Rate (NPCR), and Unified Average Changing Intensity (UACI).
Discussion:
The simulation result shows the constant pixel intensity of encrypted images, which depicts that encrypted medical reports are highly secure from threats.
Conclusion:
The proposed image encryption method can be used to design an efficient image crypto- processor for obtaining the device integrity as well as its confidentiality in real-time applications for secure communication.