Performance Analysis of LSB Image Steganography Combined with Blowfish-RC4 Encryption in Various File Extensions

Ariyanto, Amelia Devi Putri; Rachmawanto, Eko Hari; Setiadi, De Rosal Ignatius Moses; Sari, Christy Atika

doi:10.1109/icic47613.2019.8985848

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…The Least Significant Bit (LSB) method is a method for securing messages or information in the form of media, by directly entering messages or information into pixels from the cover image [1]. By changing a small part of each pixel bit, where the position of the bit will be replaced by a message that will be inserted in the selected main media [3], then the changes that occur in the color value does not affect the image quality, this method has a good imperceptibility so that people others cannot see a significant change in the image [2].…”

Section: Methods 21 Lsb Steganographymentioning

confidence: 99%

“…In its application, the internet has several impacts, for example a positive impact on everyone in finding data or information quickly and freely. The negative impact is that crime on the internet or cybercrime is increasing, so security needs to be held [1]. Therefore, to prevent the hacking of information or data from irresponsible parties, a method is needed to hide messages or information, for example by watermarking, steganography, cryptography and digital signatures [2].…”

Section: Introductionmentioning

confidence: 99%

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A Combination of Hill Cipher and LSB for Image Security

Susanto

Mulyono

Febrian

et al. 2020

SJI

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The maximum value obtained to test the encrypt hill cipher uses the avalanche effect with modification of one, two, three, and four key matrices 35.71%, therefore an additional security technique is needed. The Least Significant Bit (LSB) method is used to insert the ciphertext that has been generated from the hill cipher algorithm, has been testing using RGB, CMY, CMYK and YUV shapes with 6142 characters in 128 x 128 character images producing the highest PSNR value of 51.2826 dB in CMYK images. Steganography technique is applied because it has advantages in terms of imperceptibility, for example the results of a stego image are so similar to the original image that it is difficult to be distinguished by the human senses. Tests were carried out with 10 images, five images measuring 512 x 512 and five images measuring 16 x 16. While the messages to be inserted were 240, 480, and 960 characters for images measuring 512 x 512 and 24, 48 and 88 characters for images measuring 16 x16. Test results that I have done are calculated using Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) with a minimum PSNR of 51.2907 dB which means the resulting image is quite good. Computation time is calculated using tic toc on Matlab by encrypting 2000 and 6000 characters, and also computation time.

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Section: Methods 21 Lsb Steganographymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Combination of Hill Cipher and LSB for Image Security

Susanto

Mulyono

Febrian

et al. 2020

SJI

View full text Add to dashboard Cite

show abstract

“…ISSN: 2710-2165 http://doi.org/10.33193/IJSER.2.1.2022.53 https://ijser.aliraqia.edu.iq By means of the hash value in image, the study in [18] targets to demonstrate a hash based LSB method where results are secured by using EXIF data through employing cryptography and steganography. [19] proposes a combination of the Rivest Code 4 (RC4), Least Significant Bit (LSB)-Blowfish because it can offer layered security on confidential data. [20] suggests a new cryptographic method that makes use of the benefits of both significant schemeschaotic image encryption and steganography.…”

Section: Literature Reviewmentioning

confidence: 99%

High Security Image Cryptographic Algorithm Using Chaotic Encryption Algorithm with Hash-LSB Steganography

2023

IJSER

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In the latest, digital images are frequently used for storage, communication, medical imaging, etc. Such images possibly involve private data, which accordingly handed an important role to information security. Image encryption and steganography are two widely used techniques for providing information security. Cryptography is the technique of protecting information by encryption and decryption. In steganography, the message is inserted in an image with changes entitled a cover image. The principal purpose of the study is to improve the current secure data communication techniques, by combining cryptography with steganography. Steganography and cryptography are two examples of the multiple methods used to guarantee secrecy and privacy throughout data communication. The suggested approach achieves encryption and decryption utilizing chaotic encryption technique and employing hashleast significant bit (HLSB) as steganography which is a significant method of embedding data bits in LSB bits of RGB pixels of the cover image. The suggested image encryption method is validated by experimental results to be highly secure and resistant to a variety of attacks. Additionally, compared to several conventional picture encryption techniques, it offers higher performance. Peak signal-to-noise ratio (PSNR) and mean square error (MSE)calculations are used to provide security evaluations. PSNR is infinite and MSE is 0 for a secret image. PSNR and MSE for the cover image are 65 and 0.02 dB respectively. The results of this research reveal a high level of similarities between stego and cover images, and between recovered and secret images, as seen in the histogram analysis of secret images. These techniques are accomplished effectively by using the MATLAB program.

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“…Previous research related to steganography has been carried out by Putri, Ashari, and Rahmat. Putri in her research, using LSB encoding method and encryption method using Blowfish and RC4 [18]. Secret text messages will be encrypted with blowfish then after that, text messages encrypted with RC4, the goal is to improve data security.…”

mentioning

confidence: 99%

Evaluation of Audio Steganography To Embed Image Files Using Encryption and Snappy Compression

Ashari

2022

ijcs

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Images are messages that can be kept secret, so security measures are needed. Techniques that can be used are cryptography and steganography. Steganography can be combined with cryptography to increase security. Images have a relatively large size; Therefore, a compression algorithm is needed. The compression algorithm used is lossless compression. MP3 audio is used as the cover media because it is the most popular audio file. In this study, aspects of imperceptibility, fidelity, recovery, payload, and robustness will be evaluated. The imperceptibility aspect is carried out by observing the RGB Histogram of the image and the audio frequency spectrum, the test results show that there is no significant difference between the audio before and after the image message is inserted. In the fidelity aspect, the PSNR result is above 30 dB. In the payload aspect, the file size after being encrypted with AES and RC4 is larger than just encoded using the base64 encoder. From the recovery aspect, the test results show a BER value of 0. Testing the robustness aspect by manipulating the bitrate, channel mode, and sample frequency, the test results show that the message cannot be extracted.

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Performance Analysis of LSB Image Steganography Combined with Blowfish-RC4 Encryption in Various File Extensions

Cited by 3 publications

References 11 publications

A Combination of Hill Cipher and LSB for Image Security

A Combination of Hill Cipher and LSB for Image Security

High Security Image Cryptographic Algorithm Using Chaotic Encryption Algorithm with Hash-LSB Steganography

Evaluation of Audio Steganography To Embed Image Files Using Encryption and Snappy Compression

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