A secure authenticated image encryption scheme based on elliptic curve cryptography

Abstract

The picture archiving and communication system is a powerful mechanism to store and securely transmit images and reports. The development of a cost-effective encryption algorithm in terms of time and space complexity is needed. Our main goal is to protect the content and integrity of the image being transmitted. We implement an efficient authenticated encryption algorithm based on the Lehmer Random Number Generator, the Sophie Germain Prime Generator and Elliptic Curve Cryptography to transmit the digitally preserved images (including medical) which serves our purpose. Our method achieves randomness along with authentication with the help of random number generator and Elliptic Curve Cryptography which is unique compared to the existing schemes. The performance metrics of the proposed system stay on top of the state-of-the-art techniques that were recently derived. We obtained negative correlation coefficient values of −0.000242, −0.001349, −0.001313 for vertical, horizontal, and diagonal coefficients respectively. This makes our scheme better as it is difficult to find any relationship between the original and encrypted image. On average, our method uses only 10 seconds for encryption using a 521-bit curve.

Keywords:

• Authenticity
• cryptanalysis
• digital signature
• elliptic curve cryptography
• image encryption
• pseudo random number generator

Acknowledgement

This work was supported by Catholic University of Korea, Research Fund 2020.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Ch. Jnana Ramakrishna

Ch. Jnana Ramakrishna has graduated B.Tech in Electronics and communication and their area of interest is Image processing and IoT, Pincode 560035.

D. Bharath Kalyan Reddy

D. Bharath Kalyan Reddy has graduated B.Tech in Electronics and communication and their area of interest is Image processing and IoT, Pincode 560035.

P.P. Amritha

P.P. Amritha is Assistant professor in Amrita University and her areas of interest is multimedia security and Obfuscation, Pincode 641112.

K.V. Lakshmy

K.V. Lakshmy is Assistant professor in Amrita University and her area of expertise is Cryptography and image processing, Pincode 641112.

Vasily Sachnev

Vasily Sachnev Since 2010, he is a faculty member in the Catholic University of Korea in Department of Information, Communication and Electronics Enginering. His research interests include machine learning, bioinformatics, digital watermarking, steganography, and image processing. Address: D447, 43 Jibong-ro, Bucheon-si, Gyeonggi-do 14662, Korea.