Steganography based on least significant bit method was designed for digital image with lossless compression technique

Wiryawan, I Gede; Sariyasa,; Gunadi, I Gede Aris

doi:10.1109/icsigsys.2018.8373576

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The conventional LSB technique is straightforward but not very useful. In some modified LSB schemes [22], a few bits from the most significant side decide the place where the secret bit is to be concealed, at least a considerable side.…”

Section: Data Steganographymentioning

confidence: 99%

“…There is an exception in LFSR, if all the contents of the shift register are zeros, then it is impossible to produce the next state. In this step, the encrypted data will be embedded in the signature image using the Least Significant Bit (LSB) method [22]. This method uses the least bit for storing critical data in a binary form where the least significant bit of pixels of the signature image is replaced with data bits.…”

Section: Data Steganographymentioning

confidence: 99%

See 1 more Smart Citation

A Secured Digital Handwritten Signature Prototype for Visually Impaired People

Taha¹,

Selim²,

Yousry³

2020

IJIES

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No doubt, Visually Impaired (VI) have trouble signing documents. They cannot identify their signatures and have their identification verified. Hence, some people may impersonate their identity. They may imitate their signatures in formal documents like contracts, money checks, and other vital documents, mainly in the governmental institutions. No clarified method can maintain these signatures. This paper presents a new prototype for securing VI people's signature using encryption techniques and data hiding methods. The proposed prototype uses the Least Significant Bit (LSB) algorithm for hiding some information, including the name of VI, the date, and the time of the signature. These data are encrypted using an improved, chaotic algorithm with a linear feedback shift register approach. Moreover, a QR code for each VI person is created and associated with the document. Both the signature and the QR code can be used to secure and validate the VI signature for a given document. A real signature dataset is constructed for evaluating the proposed prototype. The experimental results with respect to the real dataset and the Spanish signature dataset (MCYT-100) proved that the superiority of the proposed prototype.

show abstract

Section: Data Steganographymentioning

confidence: 99%

Section: Data Steganographymentioning

confidence: 99%

A Secured Digital Handwritten Signature Prototype for Visually Impaired People

Taha¹,

Selim²,

Yousry³

2020

IJIES

View full text Add to dashboard Cite

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Optimal Secret Text Compression Technique for Steganographic Encoding by Dynamic Ranking Algorithm

Jayapandiyan

Kavitha

Sakthivel³

2020

J. Phys.: Conf. Ser.

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In this research work, proposing an algorithm, which dynamically selects the best compression algorithms among several compression techniques for steganography encoding. Ranking and selection of best algorithm for each and every steganographic transaction is based on several factors like type of cover image being used for the transmission, length of the secret message, type of the message, compression ratio of the secret message being shared, encoding ratio of secret message over the medium etc., The proposed algorithm dynamically ranks and selects the right compression algorithm to be used for the given secret file to occupy lesser embedding space in stego-image.

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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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Steganography based on least significant bit method was designed for digital image with lossless compression technique

Cited by 4 publications

References 7 publications

A Secured Digital Handwritten Signature Prototype for Visually Impaired People

A Secured Digital Handwritten Signature Prototype for Visually Impaired People

Optimal Secret Text Compression Technique for Steganographic Encoding by Dynamic Ranking Algorithm

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

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