Simple and secure image steganography using LSB and triple XOR operation on MSB

Astuti, Yani Parti; Setiadi, De Rosal Ignatius Moses; Rachmawanto, Eko Hari; Sari, Christy Atika

doi:10.1109/icoiact.2018.8350661

Cited by 33 publications

(23 citation statements)

References 12 publications

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“…Y. P. Astuti et al, proposed a steganography algorithm [26], where the secret text is XOR-ed thrice to encrypt the secret text with which no optimization on the amount of data stored are considered. Similarly, O. Elharrouss et al, discussed [27] the possibility of having k least significant to be taken in each color channel for the secret text embedding and more the k value take is inversely proportional to the image quality.…”

Section: ) Steganography Phasesmentioning

confidence: 99%

“…Though there are few enhanced or redefined LSB algorithms are available, this technique focuses on embedding part of the steganography process and led to reduction of number of bits used in the cover-image for storing secret message. All other spatial domain techniques [26]- [30], use one to one byte representation of secret message, which means each byte in the secret message is embedded as a byte in cover image or the change in position of the embedding based on the selected color model. This proposed algorithm works on the spatial domain of image steganography process primarily focuses on optimizing the way that the secret message messages are being embedded.…”

Section: Proposed Algorithmmentioning

confidence: 99%

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Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Jayapandiyan

Kavitha

Sakthivel³

2020

IEEE Access

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Text Steganography has become a dominant research field in information sharing domain and many researches are being conducted to strengthen this area. Researches around the amount of secret message that could be stored in a given cover image is always critical for any steganography technique used to share the secret text. This research paper proposes an enhanced Least Significant Bit (eLSB) embedding technique in steganography, through which the quality of cover image is improved, when compared to typical LSB algorithm used in steganography. The proposed method employs in spatial domain and it does the secret message encoding in two phases. The first phase generates the metadata and embeds the header information in first few bytes of cover image and then the following phase takes care of processing secret message and storing the secret message in cover image using an optimized way, which is possible through analyzing secret text's character sequences. Proposed work results into occupying lesser space for the given secret text in cover image and hence leads to the better stego image quality than existing LSB algorithms. As the algorithm works on optimizing secret message during embedding phase itself, this technique enables high capacity embedding rate, additional security due to secret message preprocessing and enhanced cover image quality. The results are compared with LSB algorithm and compared to Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Root Mean Square Error (RMSE) values to prove the proposed algorithm performs better on secret text embedding in cover image.

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Section: ) Steganography Phasesmentioning

confidence: 99%

Section: Proposed Algorithmmentioning

confidence: 99%

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Jayapandiyan

Kavitha

Sakthivel³

2020

IEEE Access

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“…The proposed approach provides higher security for the private message. Y. Parti, et al [12] propose a steganographic approach for grayscale image hidden based on spatial domains which utilize three times the XOR operation and utilizes three MSB bits 8th, 7th, and 6th as keys to cipher the private message earlier and then concealed it utilizes the LSB algorithm. The proposed methods provide another level of security with a simple operation.…”

Section: Literature Reviewmentioning

confidence: 99%

Dual Security Using Image Steganography Based Matrix Partition

H.Al.ghuraify¹,

Al-Bakry²,

Al-Jayashi³

2019

IJNSA

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al-furat al-awsat university,al-najaf 2 Dean of engineering technical college,al-furat al-awsat university,al-najaf 3 Assistance deanof engineering technical college,al-furat al-awsat university,al-najaf ABSTRACT Recently, the mode of living became more complicated without computer systems. The techniques of camouflage information have acquired a vital role with the requirement of intensifying trade of multimedia content. Steganography is the technique that utilizes disguise in a way that prohibits unauthorized access from suspicion of the existence of confidential information exchanged during communication channels between the connected parties. In this paper, an integrated image steganographic system is designed to conceal images, messages or together where the mainly deliberate the improvement of embedding capacity through embedding text with image simultaneously. For that purpose, used matrix partition to partition the secret image then embedded each partition separately after scrambling each pixel by replacing msb instead of lsb to provide the second level of security furthermore to steganography. The simulation results clarify the better performance of the proposed algorithms.

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“…LSB is a method in the highly popular spatial domain used in steganography. LSB is applied in a way to modify the smallest bit value of image pixels by changing them directly [6,9]. LSB is traditionally done by changing the smallest bit values in a sequential order.…”

Section: Lsb Steganographymentioning

confidence: 99%

“…LSB is not a new method. However, this method has many advantages, such as simple algorithm and the quality of imperceptibility of relatively good stego-image [6,9]. This makes the LSB still open for more development and further research.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced LSB-Image Steganography Using the Hybrid Canny-Sobel Edge Detection

Setiadi

Jumanto

2018

Cybernetics and Information Technologies

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The Internet is a public network with many issues of data transfer security. Steganography is a data transmission security technique that is done by hiding the message in a container media, such as an image. The media certainly has its limited payload to accommodate the embedded data. This paper proposes a method for increasing the payload of secret messages in an image. The edge area is used to accommodate more message bits because the image edge area can better tolerate pixel value changes. In this research paper, Canny and Sobel detectors are combined to get a wider edge area. This two-detector combined method provides a larger edge area for greater payload of messages while maintaining imperceptibility of stegoimages.

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Simple and secure image steganography using LSB and triple XOR operation on MSB

Cited by 33 publications

References 12 publications

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Dual Security Using Image Steganography Based Matrix Partition

An Enhanced LSB-Image Steganography Using the Hybrid Canny-Sobel Edge Detection

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