Nurnajmin Qasrina Ann, . and Pebrianti, Dwi and Mohammad Fadhil, Abas and Bayuaji, Luhur (2022) A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm. In: Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering , 23 August 2021 , Kuantan, Malaysia. pp. 441-453., 842. ISBN 978-981-16-8690-0
|
Pdf
A New Hybrid Image Encryption Technique using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm.pdf Download (382kB) | Preview |
Abstract
Nowadays, encryption is one of the most popular and effective security methods used by company and organizations. A new hybrid technique, Lorenz chaotic system and an optimization algorithm, Simulated Kalman Filter (SKF) had been proposed to solve image encryption problem. The objectives of the hybrid technique are to improve the security and add noise from the optimization algorithm and generate chaotic secret key. To achieve that, Lorenz chaotic system is implemented to this method and produce secret key sequence. SKF is one of the optimization methods that had been proved to have great performance in engineering applications from prediction, measurement, and estimation process. Thus, the proposed method is outperformed the results and analysis compared to literature as benchmarks. In short, the proposed hybrid approach is agile and efficient to apply in image encryption problem
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Lecture Notes in Electrical Engineering, Indexed by Scopus |
| Uncontrolled Keywords: | Image encryption, Lorenz chaotic system, Correlation |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Computing Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 07 Feb 2023 01:41 |
| Last Modified: | 07 Feb 2023 01:41 |
| URI: | http://umpir.ump.edu.my/id/eprint/36944 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |