A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm

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 hybr...

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Main Authors: Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohammad Fadhil, Abas, Bayuaji, Luhur
Format: Conference or Workshop Item
Language:English
Published: Springer, Singapore 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/36944/
http://umpir.ump.edu.my/id/eprint/36944/1/A%20New%20Hybrid%20Image%20Encryption%20Technique%20using%20Lorenz%20Chaotic%20System%20and%20Simulated%20Kalman%20Filter%20%28SKF%29%20Algorithm.pdf
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author Nurnajmin Qasrina Ann, .
Pebrianti, Dwi
Mohammad Fadhil, Abas
Bayuaji, Luhur
author_facet Nurnajmin Qasrina Ann, .
Pebrianti, Dwi
Mohammad Fadhil, Abas
Bayuaji, Luhur
author_sort Nurnajmin Qasrina Ann, .
building UMP Institutional Repository
collection Online Access
description 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
first_indexed 2025-11-15T03:23:57Z
format Conference or Workshop Item
id ump-36944
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T03:23:57Z
publishDate 2022
publisher Springer, Singapore
recordtype eprints
repository_type Digital Repository
spelling ump-369442023-02-07T01:41:04Z http://umpir.ump.edu.my/id/eprint/36944/ A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm Nurnajmin Qasrina Ann, . Pebrianti, Dwi Mohammad Fadhil, Abas Bayuaji, Luhur TK Electrical engineering. Electronics Nuclear engineering 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 Springer, Singapore 2022 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36944/1/A%20New%20Hybrid%20Image%20Encryption%20Technique%20using%20Lorenz%20Chaotic%20System%20and%20Simulated%20Kalman%20Filter%20%28SKF%29%20Algorithm.pdf 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 (Published) https://doi.org/10.1007/978-981-16-8690-0_40
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nurnajmin Qasrina Ann, .
Pebrianti, Dwi
Mohammad Fadhil, Abas
Bayuaji, Luhur
A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm
title A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm
title_full A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm
title_fullStr A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm
title_full_unstemmed A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm
title_short A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm
title_sort new hybrid image encryption technique using lorenz chaotic system and simulated kalman filter (skf) algorithm
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/36944/
http://umpir.ump.edu.my/id/eprint/36944/
http://umpir.ump.edu.my/id/eprint/36944/1/A%20New%20Hybrid%20Image%20Encryption%20Technique%20using%20Lorenz%20Chaotic%20System%20and%20Simulated%20Kalman%20Filter%20%28SKF%29%20Algorithm.pdf