Cryptographic Analysis of Blur-Based Encryption an in depth examination of resilience against various attack vectors
Hafiz Gulfam Ahmad Umar, Muhammad Aoun, Muhammad Aftab Kaleem, Shafiq Ur Rehman, Madiha Zahir Khan, Muhammad Adil Younis, Muhammad jamil · Research Square · 2023
Abstract The study evaluates the encryption method's resistance to well-known cryptographic assaults and assesses its robustness against frequent image processing operations. In this paper we evaluate of the blur-based picture encryption method and demonstrates how it is resistant to image processing operations and cryptographic assaults the benefits of the blur-based picture encryption method, highlighting its effectiveness and ease of use. It demonstrates the method's appropriateness for secure multimedia transmission and storage applications while identifying any flaws and outlining prospective improvements. A variety of techniques used in the study, including the Arnold Transform, logistic Map, Henon Map, Modified Arnold Transform, and Baker Map. Additionally, it emphasizes the Gaussian blur algorithm's performance in compared to other methods, highlighting how quickly it encrypts data only 0.0006 seconds. It also emphasizes the Gaussian blur algorithm's faster speed as compared to other algorithms.