Data security is crucial for improving the confidentiality,integrity,and authenticity of the image content.Maintaining these security factors poses significant challenges,particularly in healthcare,business,and social...Data security is crucial for improving the confidentiality,integrity,and authenticity of the image content.Maintaining these security factors poses significant challenges,particularly in healthcare,business,and social media sectors,where information security and personal privacy are paramount.The cryptography concept introduces a solution to these challenges.This paper proposes an innovative hybrid image encryption algorithm capable of encrypting several types of images.The technique merges the Tiny Encryption Algorithm(TEA)and Rivest-Shamir-Adleman(RSA)algorithms called(TEA-RSA).The performance of this algorithm is promising in terms of cost and complexity,an encryption time which is below 10ms was recorded.It is implied by correlation coefficient analysis that after encryption there is a notable decrease in pixel correlation,therefore making it effective at disguising pixel relationships via obfuscation.Moreover,our technique achieved the highest Normalized Pixel Cross-Correlation(NPCC),Number of Pixel Change Rate(NPCR)value over 99%consistent,and a Unified Average Changing Intensity(UACI)value which stands at around 33.86 thereby making it insensitive to statistical attacks hence leading to massive alteration of pixel values and intensities.These make clear the resistance of this process to any sort of hacking attempt whatsoever that might want unauthorized access into its domain.It is important to note that the integrity of images is well preserved throughout encryption as well as decryption stages in line with these low decryption times are clear indications.These results collectively indicate that the algorithm is effective in ensuring secure and efficient image encryption while maintaining the overall integrity and quality of the encrypted images.The proposed hybrid approach has been investigated against cryptoanalysis such as Cyphertext-only attacks,Known-plaintext attacks,Chosen-plaintext attacks,and Chosen-ciphertext attacks.Moreover,the proposed approach explains a good achievement against cropping and differential attacks.展开更多
Many existing watermarking approaches aim to provide a Robust Reversible Data Hiding(RRDH)method.However,most of these approaches degrade under geometric and non-geometric attacks.This paper presents a novel RRDH appr...Many existing watermarking approaches aim to provide a Robust Reversible Data Hiding(RRDH)method.However,most of these approaches degrade under geometric and non-geometric attacks.This paper presents a novel RRDH approach using Polar Harmonic Fourier Moments(PHFMs)and linear interpolation.The primary objective is to enhance the robustness of the embedded watermark and improve the imperceptibility of the watermarked image.The proposed method leverages the high-fidelity and anti-geometric transformation properties of PHFMs.The image is transformed into the frequency domain of RRDH,after which compensation data is embedded using a twodimensional RDH scheme.Linear interpolation modification is applied to reduce the modifications caused by the embedded data,minimize complexity,and preserve imperceptibility features.As a result,both the robustness and reliability of the embedded data are effectively recovered.Experimental results demonstrate that our approach achieves superior visual quality and strong resistance to geometric transformation attacks.Extensive calculations show that the proposed RRDH method outperforms existing methods.The imperceptibility metrics achieved include a Peak Signalto-Noise Ratio(PSNR)of 52 dB and a Structural Similarity Index Measure(SSIM)of 0.9990,reflecting high fidelity and minimal degradation in the watermarked image.Additionally,robustness measurements indicate a PSNR of 43 dB,along with reduced computational complexity.展开更多
文摘Data security is crucial for improving the confidentiality,integrity,and authenticity of the image content.Maintaining these security factors poses significant challenges,particularly in healthcare,business,and social media sectors,where information security and personal privacy are paramount.The cryptography concept introduces a solution to these challenges.This paper proposes an innovative hybrid image encryption algorithm capable of encrypting several types of images.The technique merges the Tiny Encryption Algorithm(TEA)and Rivest-Shamir-Adleman(RSA)algorithms called(TEA-RSA).The performance of this algorithm is promising in terms of cost and complexity,an encryption time which is below 10ms was recorded.It is implied by correlation coefficient analysis that after encryption there is a notable decrease in pixel correlation,therefore making it effective at disguising pixel relationships via obfuscation.Moreover,our technique achieved the highest Normalized Pixel Cross-Correlation(NPCC),Number of Pixel Change Rate(NPCR)value over 99%consistent,and a Unified Average Changing Intensity(UACI)value which stands at around 33.86 thereby making it insensitive to statistical attacks hence leading to massive alteration of pixel values and intensities.These make clear the resistance of this process to any sort of hacking attempt whatsoever that might want unauthorized access into its domain.It is important to note that the integrity of images is well preserved throughout encryption as well as decryption stages in line with these low decryption times are clear indications.These results collectively indicate that the algorithm is effective in ensuring secure and efficient image encryption while maintaining the overall integrity and quality of the encrypted images.The proposed hybrid approach has been investigated against cryptoanalysis such as Cyphertext-only attacks,Known-plaintext attacks,Chosen-plaintext attacks,and Chosen-ciphertext attacks.Moreover,the proposed approach explains a good achievement against cropping and differential attacks.
文摘Many existing watermarking approaches aim to provide a Robust Reversible Data Hiding(RRDH)method.However,most of these approaches degrade under geometric and non-geometric attacks.This paper presents a novel RRDH approach using Polar Harmonic Fourier Moments(PHFMs)and linear interpolation.The primary objective is to enhance the robustness of the embedded watermark and improve the imperceptibility of the watermarked image.The proposed method leverages the high-fidelity and anti-geometric transformation properties of PHFMs.The image is transformed into the frequency domain of RRDH,after which compensation data is embedded using a twodimensional RDH scheme.Linear interpolation modification is applied to reduce the modifications caused by the embedded data,minimize complexity,and preserve imperceptibility features.As a result,both the robustness and reliability of the embedded data are effectively recovered.Experimental results demonstrate that our approach achieves superior visual quality and strong resistance to geometric transformation attacks.Extensive calculations show that the proposed RRDH method outperforms existing methods.The imperceptibility metrics achieved include a Peak Signalto-Noise Ratio(PSNR)of 52 dB and a Structural Similarity Index Measure(SSIM)of 0.9990,reflecting high fidelity and minimal degradation in the watermarked image.Additionally,robustness measurements indicate a PSNR of 43 dB,along with reduced computational complexity.
