Memristor-Based Hyperchaotic System and DNA Encoding Based Image Encryption Application on LabVIEW

Muhammet Emin Şahin

doi:10.29137/umagd.1239725

TR EN

LabVIEW Üzerinde Memristör Tabanlı Hiperkaotik Sistem ve DNA Kodlama Tabanlı Görüntü Şifreleme Uygulaması

Öz

Teknolojinin gelişmesiyle birlikte, multimedya ve iletişim araçlarının büyümesi veri aktarımı hızlanmış ve görüntü güvenliğini garanti etmek, özellikle görüntülerin iletilmesi ve saklanması sırasında çok önemli bir endişe haline gelmiştir. Bu nedenle, görüntüler genel bir ağ üzerinden gönderildiğinde, alıcı kısma gönderilmeden önce şifrelenmelidir. Bu çalışmada, bilgi güvenliğini sağlamak için LabVIEW platformu üzerinde Deoksiribonükleik asit (DNA) kodlamalı memristör tabanlı bir şifreleme sistemi önerilmiştir. Kaotik dizi için ilk olarak memrsitor tabanlı hiperkaotik sistem kullanılmıştır. Görüntüler, LabVIEW platformunda DNA ve XOR aritmetik işlemi kullanılarak şifrelenmektedir. Memristör tabanlı bir hiperkaotik sistem ve kullanılan tekniklerin kombinasyonu, görüntüyü güvenli bir şekilde şifrelemeyi amaçlamaktadır. Ayrıca güvenlik testleri; histogram analizi, korelasyon analizi, diferansiyel saldırı ve entropi analizi önerilen sistem üzerinde yapılmış ve sonuçlar sunulmuştur. Yukarıda belirtilen yöntemler, etkinliklerini belirlemek için kapsamlı bir şekilde incelenerek test edilmektedir. Önerilen şifreleme şemaların etkili olduğu ve dolayısıyla gerçek zamanlı uygulamalarda kullanılabileceği belirlenmektedir.

Anahtar Kelimeler

kaos , dna kodlama , görüntü şifreleme , güvenlik testleri , memristor

Memristor-Based Hyperchaotic System and DNA Encoding Based Image Encryption Application on LabVIEW

Abstract

With the advancement of technology, the growth of multimedia and communication tools has sped up data transfer, and guaranteeing image security has become a crucial concern, particularly during the transmission and storage of images. So, when images are sent over a public network, they should be encrypted before being sent to the receiving part. In this study, a memristor-based encryption system with Deoxyribonucleic acid (DNA) coding is proposed on the LabVIEW platform to ensure information security. Firstly, memrsitor based hyperchaotic system is used for chaotic sequence. The images are encrypted using the DNA and XOR arithmetic process on the LabVIEW platform. A memristor-based hyperchaotic system and the combination of techniques used are aimed at encrypting the image securely. In addition, security tests; histogram analysis, correlation analysis, differential attack, and entropy analysis, are performed on the proposed system and the results are presented. The aforementioned methods are thoroughly examined and tested to determine their efficacy. It has been determined that the proposed encryption schemes are effective and can therefore be used in real-time applications.

Keywords

chaos , DNA coding , image encryption , memristor , security tests

References

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Details

Primary Language

English

Subjects

Electrical Engineering

Journal Section

Research Article

Authors

Muhammet Emin Şahin ^*
0000-0001-7729-990X
Türkiye

Publication Date

January 31, 2023

Submission Date

January 20, 2023

Acceptance Date

January 29, 2023

Published in Issue

Year 2023 Volume: 15 Number: 1

DOI

https://doi.org/10.29137/umagd.1239725

IZ

https://izlik.org/JA65US65NH

APA

Şahin, M. E. (2023). Memristor-Based Hyperchaotic System and DNA Encoding Based Image Encryption Application on LabVIEW. International Journal of Engineering Research and Development, 15(1), 269-276. https://doi.org/10.29137/umagd.1239725

Kırıkkale University, Faculty of Engineering and Natural Science, 71450 Yahşihan / Kırıkkale, Türkiye.

ijerad@kku.edu.tr

Memristor-Based Hyperchaotic System and DNA Encoding Based Image Encryption Application on LabVIEW

LabVIEW Üzerinde Memristör Tabanlı Hiperkaotik Sistem ve DNA Kodlama Tabanlı Görüntü Şifreleme Uygulaması

Öz

Anahtar Kelimeler

Memristor-Based Hyperchaotic System and DNA Encoding Based Image Encryption Application on LabVIEW

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

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