A new high capacity and secure image realization steganography based on ASCII code matching

Elshoush, Huwaida T.; Mahmoud, Mahmoud M.; Altigani, Abdelrahman

doi:10.1007/s11042-021-11741-y

Cited by 9 publications

(4 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A score of 0 indicates that no similarities were found between the strings, whereas a score of 1 indicates that they are the same. The three basic parts of this method are measuring the length of the string, finding strings of the same length, and enumerating the potential swaps [19]. To illustrate how [20] determines the separation (dj) between two strings (s1 and s2), consider the following:…”

Section: Cmentioning

confidence: 99%

The use of binary digit mapping on ASCII characters to create a high-capacity, undetectable text steganography.

Al.Azzam¹,

Algarni

2023

jaset

View full text Add to dashboard Cite

Plain text is commonly utilized for online news and social media transmission due to its lightweight and cross-platform nature. Unfortunately, it may easily be exploited by attackers (For instance, in cases when the language is altered for specific goals, illegal access to the material or its abuse is possible.) To solve this problem, we embed secret texts (ST) within seemingly innocuous cover texts (CT) so that we can track CT for modifications. Based on the findings of this study, a method is provided for ST embedding in CT in which binary ST digits are converted to CT binary digits through Characters in ASCII (containing whitespace, punctuation, and special characters). Before commencing the embedding procedure, Using a One-Time Pad (OTP), the ST text was translated into ciphertext, and the value of each character was changed into a binary integer with a length of seven bits. As opposed to the ST text, which required additional time to encode, the CT text could be converted into a binary integer using just the first seven bits. During the embedding process, It was decided to swap the first bit of the ST character for the first bit of the CT character, which both had the same amount of bits (putting the first bit of the ST character, for example, on the same line as the first bit of the CT character). Any piece of ST that was recorded on any bit of CT served as a stage key. Extracting ST from CT requires the stage key. The embedded information served effectively as text steganography or watermark, and the CT's appearance was unaffected by the embedding procedure. In other words, the 1 character of ST might be concealed by using 7 CT characters. Also, a Jaro-Winkler Distance of 1 meant that the stage texts made couldn't be told apart from CT by looking at them.

show abstract

Section: Cmentioning

confidence: 99%

The use of binary digit mapping on ASCII characters to create a high-capacity, undetectable text steganography.

Al.Azzam¹,

Algarni

2023

jaset

View full text Add to dashboard Cite

show abstract

“…2 3 , 9 , 21 . The given figure explores the concept of LSB by taking the cover image converting it into its corresponding American Standard Code Information Interchange (ASCII) values then converting it into binary values 22 . After reading the image pixels’ values and their binary forms it converts the secret message values to binary form 23 .…”

Section: Summary Of the Related Workmentioning

confidence: 99%

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

Rahman,

Uddin,

Hussain

et al. 2023

Sci Rep

View full text Add to dashboard Cite

In the recent couple of years, due to the accelerated popularity of the internet, various organizations such as government offices, military, private companies, etc. use different transferring methods for exchanging their information. The Internet has various benefits and some demerits, but the primary bad mark is security of information transmission over an unreliable network, and widely uses of images. So, Steganography is the state of the art of implanting a message in the cover objects, that nobody can suspect or identify it. Therefore, in the field of cover steganography, it is very critical to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, and robustness, and working on the visual quality are the vital factors of this research to make a reliable mechanism. Different cover steganography research strategies have been recommended, and each adores its benefits and impediments but there is a need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, in this paper we proposed a method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concepts, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The algorithm was also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM), etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

show abstract

“…In order to obtain such a sequence from neighborhood subgraphs, we first randomly select neighborhood nodes, and then cross all nodes around the center node clockwise. The circular edit spacing problem is less complex than the graphic edit spacing problem, which can be solved according to the square relationship between time and space [9,10].…”

Section: Edit Distance Algorithmmentioning

confidence: 99%

Geological Paleontological Code Matching Method Based on Edit Distance Algorithm

Xu,

2023

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

In the field of geology and paleontology, digital code matching is an important technology. It can effectively improve work efficiency and shorten retrieval time. In this paper, the method of geological paleontological code matching is studied by using the edit distance algorithm, in order to further improve the accuracy of paleontological code matching. In this paper, the matching of geological paleontological codes is studied by using experimental methods and data comparison. The experimental data show that the improved edit distance algorithm has a higher precision in paleontological code matching, which can reach 75%, but its results are not stable enough, so the algorithm needs to be further improved.

show abstract

A new high capacity and secure image realization steganography based on ASCII code matching

Cited by 9 publications

References 50 publications

The use of binary digit mapping on ASCII characters to create a high-capacity, undetectable text steganography.

The use of binary digit mapping on ASCII characters to create a high-capacity, undetectable text steganography.

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

Geological Paleontological Code Matching Method Based on Edit Distance Algorithm

Contact Info

Product

Resources

About