Image Encryption using Fractional Singular Chaotic Systems: An Extended Kalman Filtering Approach
Komeil Nosrati, Juri Belikov, Aleksei Tepljakov, Eduard Petlenkov · 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) · 2022
Modern and complex dynamical modeling requires effective and precise state estimation techniques to make the system modes available for control actions without expensive measurement tools. By proposing a reliable Kalman-type estimation algorithm in this study, we aim to synchronize a chaotic fractional order singular (FOS) system which introduces some important information related to memory effects and interconnection properties. Then, the proposed algorithm is used to a secure communication framework, and an image-based cryptography algorithm is provided, in which the main image is well-masked by chaotic FOS signals and is successfully decrypted from the estimated chaotic states in receiver side. Furthermore, the performance of the suggested encryption scheme are demonstrated using histograms, pixel correlation, and key space analyses.