scholarly journals DNA Computing Using Cryptographic and Steganographic Strategies

2021 ◽  
Author(s):  
Adithya B. ◽  
Santhi G.
Keyword(s):  
Double Layer ◽  
Data Hiding ◽  
Rapid Growth ◽  
Dna Computing ◽  
Information Protection ◽  
Database Access ◽  
Confidential Data ◽  
Dna Cryptography ◽  
Encrypted Communication ◽  
Communication Methods

Information protection and secrecy are major concerns, especially regarding the internet’s rapid growth and widespread usage. Unauthorized database access is becoming more common and is being combated using a variety of encrypted communication methods, such as encryption and data hiding. DNA cryptography and steganography are used as carriers by utilizing the bio-molecular computing properties that have become more common in recent years. This study examines recently published DNA steganography algorithms, which use DNA to encrypt confidential data transmitted through an insecure communication channel. Several DNA-based steganography strategies will be addressed, with a focus on the algorithm’s advantages and drawbacks. Probability cracking, blindness, double layer of security, and other considerations are used to compare steganography algorithms. This research would help and create more effective and accurate DNA steganography strategies in the future.

scholarly journals An Advanced Reversible Data Hiding Algorithm Using Local Similarity, Curved Surface Characteristics, and Edge Characteristics in Images

2020 ◽  
Vol 10 (3) ◽  
pp. 836 ◽  
Author(s):  
Soo-Mok Jung ◽  
Byung-Won On
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Image Watermarking ◽  
Surface Characteristics ◽  
Cover Image ◽  
Curved Surface ◽  
Local Similarity ◽  
Stego Image ◽  
Confidential Data ◽  
The Difference

In this paper, we proposed methods to accurately predict pixel values by effectively using local similarity, curved surface characteristics, and edge characteristics present in an image. Furthermore, to hide more confidential data in a cover image using the prediction image composed of precisely predicted pixel values, we proposed an effective data hiding technique that applied the prediction image to the conventional reversible data hiding technique. Precise prediction of pixel values greatly increases the frequency at the peak point in the histogram of the difference sequence generated using the cover and prediction images. This considerably increases the amount of confidential data that can be hidden in the cover image. The proposed reversible data hiding algorithm (ARDHA) can hide up to 24.5% more confidential data than the existing algorithm. Moreover, it is not possible to determine the presence of hidden confidential data in stego-images, as they possess excellent visual quality. The confidential data can be extracted from the stego-image without loss, and the original cover image can be restored from the stego-image without distortion. Therefore, the proposed algorithm can be effectively used in digital image watermarking, military, and medical applications.

Information Protection and Recovery with Reversible Data Hiding

2007 ◽  
Author(s):  
Hsiang-Cheh Huang ◽  
Jeng-Shyang Pan ◽  
Yu-Hsiu Huang ◽  
Yuh-Yih Lu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Information Protection

scholarly journals A Two-domain Data Hiding Scheme for Data Signature in Integrated Online Services Applications

2021 ◽  
Vol 2137 (1) ◽  
pp. 012055
Author(s):  
Wei Yang ◽  
Caijun Zhang ◽  
Jinqiu Zhang ◽  
Kaiqiang Xian ◽  
Qianjun Wu ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Data Hiding ◽  
Information Hiding ◽  
Spatial Domain ◽  
The Internet ◽  
Grid System ◽  
Online Services ◽  
Confidential Data

Abstract There is confidential data in integrated online services applications. The data needs to be hidden before transmission on the Internet, and the data authenticity should be assured. Information hiding technology is an effective way of protecting the confidential data and may be used for assuring data authenticity. A Two-domain data hiding scheme (TDHS) is introduced in the paper to protect contract document authenticity in grid system. TDHS aims to embed confidential data into signature image in both spatial and frequency domain. LSB-like algorithm is used to generate a signature image Hs by embedding feature data of contract document into the original signature image H in the spatial domain. Then DCT algorithm is adopted to embed the watermark in signature image Hs in the frequency domain, and generate signature image Hs ready . The signature image Hs ready is inserted into the contract document. When received the document with signature, the recipient can verify its authenticity. The feasibility of TDHS is verified through experiments.

Data Hiding in Encrypted Compressed Videos for Privacy Information Protection

2015 ◽  
Vol 2 (2) ◽  
pp. 26-31
Author(s):  
Sivappagari Chandra Mohan Reddy ◽  
◽  
M. Manasa ◽  
Keyword(s):  
Data Hiding ◽  
Information Protection

scholarly journals Reversible Data Hiding Based on DNA Computing

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Bin Wang ◽  
Yingjie Xie ◽  
Shihua Zhou ◽  
Changjun Zhou ◽  
Xuedong Zheng
Keyword(s):  
Information Security ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Dna Computing ◽  
Experimental Results ◽  
Signal To Noise ◽  
Histogram Modification ◽  
Biological Technology ◽  
Embedding Rate ◽  
Great Development

Biocomputing, especially DNA, computing has got great development. It is widely used in information security. In this paper, a novel algorithm of reversible data hiding based on DNA computing is proposed. Inspired by the algorithm of histogram modification, which is a classical algorithm for reversible data hiding, we combine it with DNA computing to realize this algorithm based on biological technology. Compared with previous results, our experimental results have significantly improved the ER (Embedding Rate). Furthermore, some PSNR (peak signal-to-noise ratios) of test images are also improved. Experimental results show that it is suitable for protecting the copyright of cover image in DNA-based information security.

Data hiding in scrambled images: A new double layer security data hiding technique

2014 ◽  
Vol 40 (1) ◽  
pp. 70-82 ◽  
Author(s):  
Shabir A. Parah ◽  
Javaid A. Sheikh ◽  
Abdul M. Hafiz ◽  
G.M. Bhat
Keyword(s):  
Double Layer ◽  
Data Hiding

scholarly journals A new encrypted method in image steganography

2019 ◽  
Vol 14 (3) ◽  
pp. 1412 ◽  
Author(s):  
Sabyasachi Pramanik ◽  
R P Singh ◽  
Ramkrishna Ghosh
Keyword(s):  
Data Hiding ◽  
Image Steganography ◽  
Cover Image ◽  
Human Response ◽  
Stego Image ◽  
Response Test ◽  
Confidential Data

<p>Steganography is data hiding technique in internet. Here we send CAPTCHA codes within a cover image using Image steganography. CAPTCHA are the crazy codes. They are used in human response test. The word is actually an acronym for: "<strong>C</strong>ompletely <strong>A</strong>utomated <strong>P</strong>ublic <strong>T</strong>uring test to tell <strong>C</strong>omputers and <strong>H</strong>umans <strong>A</strong>part". It is a type of challenge–response test used in computing to determine whether or not the user is a human. Websites implement CAPTCHA codes into their registration processes due to spam. This is the utility of CAPTCHA codes. Here we generate CAPTCHA codes and later send them in an encrypted version. So, actually CAPTCHA codes are embedded into cover image with an encrypted form resulting stego image and thus attackers cannot fetch the actual CAPTCHA resulting in a secured transmission of confidential data using image steganography.</p>

scholarly journals Improved Data Hiding Scheme using VQ based Index Map Compression and Codebook Extension

2020 ◽  
Vol 9 (5) ◽  
pp. 801-807
Keyword(s):  
Vector Quantization ◽  
Data Hiding ◽  
Cover Image ◽  
Embedding Capacity ◽  
Text File ◽  
Secret Data ◽  
Video File ◽  
Coding Efficiency ◽  
Confidential Data ◽  
The Cost

Now-a-days, data protection has become inevitable for confidential transactions that happen over net. Transmission of such confidential data has become a challenging issue in today’s scenario. Many Data Hiding techniques are used for transmitting data in a secured way. The secret data can be hidden as part of any type of file such as Text file, Sound file, image file, Video file, etc. It has been proposed to hide secret data as part of cover image. The proposed work adopts Vector Quantization (VQ) which is one of the powerful and simple image compression techniques to compress the size of the cover image and to reduce the cost associated with storage/transmission. VQ transforms the cover image into its corresponding Codebook and IndexMap. The confidential data is then embedded as part of the Codebook and IndexMap. The proposed method helps in improving the performance by increasing the embedding capacity and coding efficiency. The performance of Steganography is improved in three levels. The embedding capacity of the proposed method is increased by 23,726 bits when compared to that of existing similar methods, which is a significant improvement.

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