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Secure visual communication with advanced cryptographic and ımage processing techniques

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Abstract

Securing data during transmission is critical to prevent unauthorized access, interception, or modification of the data. Data can be communicated securely while maintaining its confidentiality, integrity, and availability by using cryptographic algorithms and measures. In the proposed work, a hybrid data compression algorithm is proposed to increase the amount of input data that is encrypted using the Advanced Encryption Standard (AES) cryptography method to boost security level, and it can be utilized to carry out the lossy compacting Steganography method. By reducing the quantity of data transmitted, this technique can enable speedy transmission over a sluggish internet connection or use less space on different storage devices. The cover image is compressed using Discrete Wavelet Transform (DWT), which reduces the cover image's dimensions by lossyly compressing the image. The ordinary text is converted to hexadecimal format from text. The encrypted data will then be inserted into the compressed cover picture using the least significant bit (LSB) with Image vector array (IVA). Bits per pixel (BPP), Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), and Structural Similarity Index (SSIM) were some of the metrics we used to evaluate the proposed technique.

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Data availability

Data sharing not applicable to this article as no datasets were generated or analysed during the current study. No custom algorithm is used.

Abbreviations

AES:

Advanced encryption standard

DWT:

Discrete wavelet transform

LSB:

Least significant bit

IVA:

Image vector array

DES:

Data encryption standard

ECC:

Elliptic curve cryptography

SSIM:

Structural similarity ındex measure

PSNR:

Peak Signal-to-Noise Ratio

MSE:

Mean square error

BPP:

Bits per pixel

FED:

Fuzzy edge detection

EMD:

Exploiting modification direction

HVS:

Human visual system

DCT:

Discrete cosine transform

BTC:

Block truncation coding

PZMs:

Pseudo-Zernike moments

QKD:

Quantum key distribution

RSA:

Rivest–Shamir–Adleman

PKI:

Public key ınfrastructure

S-box:

Substitution box

RPE:

Redundant pattern encoding

SVD:

Singular value decomposition

3D DWT:

Three-dimensional discrete wavelet transform

PIM:

Processing-In Memory

AESPIM:

Architecture dubbed PIM

LBP:

Local binary pattern

PPM:

Pixel pair matching

ECC:

Elliptic curve cryptography

PCNG:

Pseudo-Chaotic Number Generator

PRNG:

Pseudo-Random Number Generator

ACRs:

Affine covariant regions

AMBTC:

Absolute moment block truncation coding

ZMs:

Zernike moments

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Funding

No funds, grants, or other support was received.

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Authors and Affiliations

  1. Mepco Schlenk Engineering College, Sivakasi, India

    V. Sathananthavathi, K. Ganesh Kumar & M. Sathish Kumar

Authors
  1. V. Sathananthavathi
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  2. K. Ganesh Kumar
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  3. M. Sathish Kumar
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Sathananthavathi, Ganesh kumar and Sathish kumar. The first draft of the manuscript was written by Sathananthavathi and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to V. Sathananthavathi.

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Appendix

Appendix

Figure 6

Fig. 6
figure 6

AES—basic working methodology

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Figure 7

Fig. 7
figure 7

AES with 256-bit key

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Figure 8

Fig. 8
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Discrete wavelet transform

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Figure 9

Fig. 9
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LSB embedding methodology

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Figure 10

Fig. 10
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LSB embedding process

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Sathananthavathi, V., Ganesh Kumar, K. & Sathish Kumar, M. Secure visual communication with advanced cryptographic and ımage processing techniques. Multimed Tools Appl 83, 45367–45389 (2024). https://doi.org/10.1007/s11042-023-17224-6

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