High-efficiency and visual-usability image encryption based on thumbnail preserving and chaotic system

Zhang, Yongming; Zhao, Ruoyu; Zhang, Yushu; Lan, Rushi; Chai, Xiuli

doi:10.1016/j.jksuci.2022.04.001

Cited by 25 publications

(11 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, this performance is highly related to the size of plain images. (2) in addition, our method has better UACI and NPCR compared to the works in [33][34][35][36]. This simply shows better capability of the proposed method to oppose some attacks based on one pixel change in the plain image.…”

Section: Comparative Analysismentioning

confidence: 64%

“…(3) it is also observed that the entropy of the proposed method is the highest compared to the results obtained in [33][34][35][36]. This is an indicator of the high randomness introduced in the data by the chaotic sequences generated by the model defined in equation (3).…”

Section: Comparative Analysismentioning

confidence: 75%

“…Some well-known performance metrics are exploited and shown in table 7, including the processing time, local entropy, global entropy, NPCR, UACI, SSIM and PSNR. It is observed from table 7 that (1) the proposed method consumed less processing time compared with the methods presented in [32][33][34]. However, this performance is highly related to the size of plain images.…”

Section: Comparative Analysismentioning

confidence: 92%

See 2 more Smart Citations

Novel Duffing chaotic oscillator and its application to privacy data protection

Nkapkop

Jiang

et al. 2023

Phys. Scr.

View full text Add to dashboard Cite

Traditional Compressive Sensing (CS) achieves both compression and encryption of digital data. However, most existing compressive sensing methods present some shortcomings, including weak resistance to chosen-plaintext attacks and heavy key management burden. To overcome these shortcomings, this work presents a new combination of CS with optical transformation for digital image compression and encryption. The proposed compression-encryption scheme utilizes the interesting properties of CS and permutation-diffusion techniques to reduce the image size and encrypt the image data. A novel Duffing Oscillator (NDO) is proposed, its dynamics is deeply analyzed, and its sequences are exploited to build a hardware-friendly measurement matrix for the CS process. This also contributes to reducing the total size of secret key sent to the receiving end. In addition, the final image compression-encryption output is obtained by applying one of the most significant optical encryption methods, namely Double Random Phase Encoding (DRPE). This contributes to further strengthen the security of the proposed scheme. Eventually, the experimental results imply that our scheme is effective in improving the resistance against various attacks, while guaranteeing good imperceptibility and reconstruction performance. It can then be employed in the information security communication field. Keywords: Privacy data protection, duffing oscillator, compressive sensing, double random phase encoding, security analysis.

show abstract

Section: Comparative Analysismentioning

confidence: 64%

Section: Comparative Analysismentioning

confidence: 75%

Section: Comparative Analysismentioning

confidence: 92%

See 1 more Smart Citation

Novel Duffing chaotic oscillator and its application to privacy data protection

Nkapkop

Jiang

et al. 2023

Phys. Scr.

View full text Add to dashboard Cite

show abstract

“…This strategic choice imparts a heightened degree of non-periodicity, transforming the encryption process into an exquisite dance of entropy. Furthermore, it is intriguing to observe that the integration of chaotic systems, woven intricately with other sophisticated cryptographic techniques, has ignited the imagination of researchers across the globe [7,8,9,10].…”

Section: Related Workmentioning

confidence: 99%

SORCHIC: Second Order Reversible Cellular Automata based Hybrid Image Cipher for IoT applications

Rao,

Rawat,

Roy

et al. 2024

Preprint

View full text Add to dashboard Cite

In the rapidly evolving digital world, ensuring secure data transmission, especially in image data pivotal to modern communication, remains critical. The Internet of Things (IoT) amplifies the need for encryption systems that blend robust security with efficiency. However, current cryptosystems often compromise one for the other. To address this, emerging algorithmic techniques aim to strike a balance. Among these, First Order Cellular Automata (FOCA) show promise for image encryption, aligning seamlessly with image processing intricacies while maintaining lower implementation complexity. This paper introduces SORCHIC, a novel hybrid encryption algorithm designed specifically for IoT applications encrypting multichannel images. Leveraging Second-Order Cellular Automata (SOCA) and Chaotic Maps, SORCHIC undergoes comprehensive exploration within this work. Detailed insights into its inner workings are provided, followed by a rigorous experimental analysis comparing it to existing encryption methods. The results underscore SORCHIC’s resilience against diverse cryptanalysis attacks and highlight its superior efficiency compared to established techniques. This study contributes to advancing encryption methods, particularly in IoT, by presenting a robust, efficient, and secure approach tailored for image data transmission.

show abstract

“…Teknik pengamanan yang mungkin dilakukan adalah pengenkripsian data. Enkripsi citra berbasis chaotic map menjadi pilihan yang cukup baik berdasarkan hasil yang ditunjukan dalam beberapa penelitian [7]- [9]. Salah satu Teknik yang cukup efisien adalah dengan melakukan pengacakan posisi piksel pada citra.…”

Section: Pendahuluanunclassified

Enkripsi Citra Digital Berbasis Kombinasi Arnold Cat Map Termodifikasi Dan Dna Encoding

Yusri

Rudhistiar

2022

Mnemonic

View full text Add to dashboard Cite

Penelitian ini dikembangkan dengan tujuan meningkatkan metode enkripsi citra digital berbasis Arnold Cat Map termodifikasi dengan difusi DNA encoding. Fokus penelitian ini menganalisis performansi pengacakan citra dengan Arnold Cat Map termodifikasi yang didifusikan dengan DNA encoding. Hasil enkripsi diuji dengan 4 parameter numerik, yaitu entropi, Mean-squared error (MSE), peak signal-tonoise ratio (PSNR) dan koefisien korelasi. Citra pengujian dikhususkan pada citra persegi dengan variasi ukuran 128 x 128 hingga 512 x 512. Hasil menunjukkan signifikansi perubahan hasil enkripsi ketika dilihat dari kondisi histogram yang menyebar merata. Rata-rata nilai korelasi sebesar 0.017, rata-rata entropi sebesar 7.9964 dan PSNR sebesar 5.487 dB.

show abstract

High-efficiency and visual-usability image encryption based on thumbnail preserving and chaotic system

Cited by 25 publications

References 35 publications

Novel Duffing chaotic oscillator and its application to privacy data protection

Novel Duffing chaotic oscillator and its application to privacy data protection

SORCHIC: Second Order Reversible Cellular Automata based Hybrid Image Cipher for IoT applications

Enkripsi Citra Digital Berbasis Kombinasi Arnold Cat Map Termodifikasi Dan Dna Encoding

Contact Info

Product

Resources

About