Text Steganography on Sundanese Script using Improved Line Shift Coding

Ciptaningtyas, Henning Titi; Anggoro, Radityo; Fadhillah, Muhsin Bayu Aji

doi:10.1109/kcic.2018.8628471

Cited by 2 publications

(5 citation statements)

References 4 publications

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“…Linguistic steganography is about the text (a secret message) concealed in a text medium [8]. In the meantime, auto-steganography adjusts the document format or a specific character, without altering the context of the sentences [11,12].…”

Section: A Why Steganography Is Important?mentioning

confidence: 99%

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Ibrahim¹,

Abdulrahman²

2020

IJACSA

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Arabic language contains a multiple set of features which complete the process of embedding and extracting text from the compressed image. In specific, the Arabic language covers numerous textual styles and shapes of the Arabic letter. This paper investigated Arabic cursive steganography using complex edge detection techniques via compressed image, which comprises several characteristics (short, medium and Long sentence) as per the research interest. Sample of images from the Berkeley Segmentation Database (BSD) was utilized and compressed with a diverse number of bits per pixel through Least Significant Bit (LSB) technology. The method presented in this paper was evaluated based on five complex edge detectors (Roberts, Prewitt, Sobel, LoG, and Canny) via MATLAB. Canny edge detector has been demonstrated to be the most excellent solution when it is vital to perform superior edge discovery overcompressed image with little several facts, but Sobel appears to be better in term of the execution time for Long sentence contents.

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Section: A Why Steganography Is Important?mentioning

confidence: 99%

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Ibrahim¹,

Abdulrahman²

2020

IJACSA

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“…Moreover, it is noticed that there is an inverse relationship performance between security and embedding capacity. Line-shift code [3] Converting the secret message into ASCII value then converted to binary. Convert the binary bit with the number of shifted rows.…”

Section: Word-rule Basedmentioning

confidence: 99%

“…Embedding time [3,5,23,[26][27][28][29][30][31][32] Calculates the time of the technique that the embedding process consumes. Hiding capacity [3,6,11,17,18,20,22,25,27,30,[33][34][35][36][37][38][39][40][41][42][43] It is the maximum number of bits that could be embedded in the cover medium. Imperceptibility [11,17,37,44] Hiding the message in a way that the human vision cannot perceive the difference in the stego medium.…”

Section: Bulletin Of Electr Eng and Infmentioning

confidence: 99%

“…Imperceptibility [11,17,37,44] Hiding the message in a way that the human vision cannot perceive the difference in the stego medium. Robustness [2,3,12,15,16,22,24,38,[45][46][47][48] It measures how is the technique is difficult to be destroyed by the attacks or the manipulating processes. Security [2, 6, 8, 10, 11, 13-15, 18, 21-23, 26, 29, 40, 47-49] It protects the secret message from the internal and external attacks.…”

Section: Bulletin Of Electr Eng and Infmentioning

confidence: 99%

“…Linguistic steganography deals with text (a secret message) that will be hidden in a text medium [2]. Meanwhile, text steganography changing the format of the text or a specific character without changing the meaning of the sentences [3,4]. Hiding the data by using natural language steganography needs some techniques.…”

Section: Introductionmentioning

confidence: 99%

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Analysis review on feature-based and word-rule based techniques in text steganography

Alyousuf¹,

Din²

2020

Bulletin EEI

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This paper presents several techniques used in text steganography in term of feature-based and word-rule based. Additionally, it analyses the performance and the metric evaluation of the techniques used in text steganography. This paper aims to identify the main techniques of text steganography, which are feature-based, and word-rule based, to recognize the various techniques used with them. As a result, the primary technique used in the text steganography was feature-based technique due to its simplicity and secured. Meanwhile, the common parameter metrics utilized in text steganography were security, capacity, robustness, and embedding time. Future efforts are suggested to focus on the methods used in text steganography.

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Text Steganography on Sundanese Script using Improved Line Shift Coding

Cited by 2 publications

References 4 publications

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Analysis review on feature-based and word-rule based techniques in text steganography

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