Graded fuzzy edge detection for imperceptibility optimization of image steganography

Setiadi, De Rosal Ignatius Moses; Rustad, Supriadi; Andono, Pulung Nurtantio; Shidik, Guruh Fajar

doi:10.1080/13682199.2023.2219880

Cited by 7 publications

(4 citation statements)

References 40 publications

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“…By encoding secret data using distinct interpolated values, the receiver can retrieve the data through matching the sorted interpolation values [28]. Te papers [29][30][31] discuss the digital image steganography survey and investigation regarding the goal, assessment, method, development, and dataset.…”

Section: Review Of Existing Image Interpolation Methodsmentioning

confidence: 99%

“…Te preceding embedding phase produces a stego image at the recipient side and extraction of data is done in order to obtain the secret information and recover the original image. At frst, we aimed to obtain the secret information from the stego image, so we have to identify the interpolated pixels in the stego image which are as follows: (12,53,10,11,9,53,90,6,46,24,29,30,41,45,36,40). So, the frst interpolated pixel is 12 whose binary value is 00001100.…”

Section: An Illustration Of the Data Extraction In This Section An Il...mentioning

confidence: 99%

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High Payload Lossless Steganography Using Image Interpolation

Sharma,

Malik,

Singh

et al. 2023

Security and Communication Networks

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Interpolation-based reversible data hiding (IRDH) is a method for embedding data in a reversible manner into digital images. It is based on the polynomial interpolation to hide the secret data bit stream in the coefficients of the interpolation polynomial. In this paper, an IRDH method that combines a modified neighbor mean interpolation is presented with a new method for reversibly embedding secret data in interpolated pixels. This method uses log base 2 of the decimal value of the interpolated pixel to replace a corresponding number of bits with the bits of the secret data, allowing for a higher bit stream to be embedded with better image quality. The results from experiments show that the introduced method can implant on average, 1300000 bits of secret data with an average PSNR of 28.5 dB, which is a significant improvement over existing and related works.

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Section: Review Of Existing Image Interpolation Methodsmentioning

confidence: 99%

Section: An Illustration Of the Data Extraction In This Section An Il...mentioning

confidence: 99%

High Payload Lossless Steganography Using Image Interpolation

Sharma,

Malik,

Singh

et al. 2023

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…In literature [17], an adaptive method was proposed to improve the imperceptibility of steganography by using an adaptive pattern depending on an inverted LSB technique. In increasing imperceptibility, Setiadi et al [18] had a method that used graded fuzzy edge detection, which divides pixels into edge-related, non-edge-related, and primary categories.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Security Through Integrated Morse Code Encryption and LSB Steganography in Digital Communications

Olewi,

Msallam,

Salim

et al. 2024

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In the digital era, the protection of sensitive data transmitted over the Internet, such as credit card information, is paramount. This study introduces an innovative system that enhances data security during internet transmission by synergizing steganography and cryptography. The proposed method employs a two-stage process: encryption followed by concealment. Initially, secret text data is encrypted using an evolved form of Morse code, converting it into ciphertext. Subsequently, this ciphertext is discreetly embedded within a cover image utilizing the least significant bit (LSB) technique, a method renowned for its subtlety and efficiency in data hiding. The effectiveness of this novel system was evaluated by comparing its performance with existing benchmarks. The chosen test case involved embedding encrypted data within a Baboon image. The results demonstrated a notable improvement of 2.596% over the baseline, affirming the system's efficacy. A critical aspect of this approach is the high quality of the resultant stego image. This quality is instrumental in ensuring the covert nature of the embedded data, thereby significantly reducing the likelihood of detection during internet transmission. Key elements of this study include the development of a more sophisticated Morse code encryption algorithm and the optimization of the LSB steganography technique. These advancements contribute to the system's robustness, rendering the encrypted and hidden data virtually undetectable and inaccessible to unauthorized entities. The integration of these two techniques represents a significant stride in the realm of digital data security, offering a dual-layered defense mechanism against potential cyber threats.

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“…The pixel intensities in image steganography are used in order to hide the message [21]. In steganographic images, the Least Significant Bit (LSB) is considered a widely known technique due to its high advantages in encrypting texts in images [22][23][24]. However, the conventional LSB technique still needs more enhancements in the steganographic technology [25,26].…”

Section: Introductionmentioning

confidence: 99%

A New Steganography Method for Hiding Text into RGB Image

Ibrahim,

Anooz,

Abdulkareem

et al. 2023

IJACSA

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Now-a-days, the network has significant roles in transferring data and knowledge quickly and accurately from sender to receiver. However, the data is still not secure enough to transfer quite confidentially. Data protection is considered as one of the principal challenges in information sharing over communication. So, steganography techniques were proposed which are the art of hiding information that prevents secret text message detection from intruders. Nevertheless, most steganography methods use low bits number of secret messages. Moreover, these methods applied a single logic gate for encrypting the secret message. Therefore, this paper proposes a new method for the encryption of secret messages based on the Huffman technique to reduce the secret message dimensions. In addition, the proposed method uses two different logic gates namely XOR and XNOR for increasing the message security. The RGB Lena image is used as the cover image of the secret message. There are six different experiments conducted with respect to various lengths of the secret messages in bits. The experimental results show that when using the highest number of bits (i.e., 66288), the proposed method achieved 0.0233 MSE, 64.4589 PSNR, 0.9999998 SSIM, and 8.2383 encryption time. The proposed method has the ability to encrypt the secret message with a high number of bits.

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Graded fuzzy edge detection for imperceptibility optimization of image steganography

Cited by 7 publications

References 40 publications

High Payload Lossless Steganography Using Image Interpolation

High Payload Lossless Steganography Using Image Interpolation

Enhanced Security Through Integrated Morse Code Encryption and LSB Steganography in Digital Communications

A New Steganography Method for Hiding Text into RGB Image

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