Novel wavelet-based QIM data hiding technique for tamper detection and correction of digital images

2012 ◽  
Vol 23 (3) ◽  
pp. 454-466 ◽  
Author(s):  
Amit Phadikar ◽  
Santi P. Maity ◽  
Mrinal Mandal
Keyword(s):  
Data Hiding ◽  
Digital Images ◽  
Tamper Detection

Verifiable data hiding scheme with tamper detection

2019 ◽  
Vol 36 (2) ◽  
pp. 1311-1321
Author(s):  
Wen-Chung Kuo ◽  
Chun-Cheng Wang ◽  
Shao-Hung Kuo ◽  
Lih-Chyau Wuu
Keyword(s):  
Data Hiding ◽  
Tamper Detection

Reversible Data Hiding for DNA Sequences and Its Applications

2014 ◽  
Vol 6 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Qi Tang ◽  
Guoli Ma ◽  
Weiming Zhang ◽  
Nenghai Yu
Keyword(s):  
Data Hiding ◽  
Dna Sequences ◽  
Reversible Data Hiding ◽  
Tamper Detection ◽  
Dna Databases ◽  
Living Things ◽  
Embedding Rate

As the blueprint of vital activities of most living things on earth, DNA has important status and must be protected perfectly. And in current DNA databases, each sequence is stored with several notes that help to describe that sequence. However, these notes have no contribution to the protection of sequences. In this paper, the authors propose a reversible data hiding method for DNA sequences, which could be used either to embed sequence-related annotations, or to detect and restore tampers. When embedding sequence annotations, the methods works in low embedding rate mode. Only several bits of annotations are embedded. When used for tamper detection and tamper restoration, all possible embedding positions are utilized to assure the maximum restoration capacity.

Tattooing Attack

2014 ◽  
Vol 6 (3) ◽  
pp. 30-46
Author(s):  
Jia-Hong Li ◽  
Tzung-Her Chen ◽  
Wei-Bin Lee
Keyword(s):  
Digital Images ◽  
Image Authentication ◽  
Tamper Detection ◽  
Authentication Scheme ◽  
Tampering Detection ◽  
New Type ◽  
Detection Schemes

Image authentication must be able to verify the origin and the integrity of digital images, and some research has made efforts in that. In this paper, we reveal a new type of malicious alteration which we call the “Tattooing Attack”. It can successfully alter the protected image if the collision of the authentication bits corresponding to the altered image and the original watermarking image can be found. To make our point, we chose Chang et al.'s image authentication scheme based on watermarking techniques for tampering detection as an example. The authors will analyze the reasons why the attack is successful, and then they delineate the conditions making the attack possible. Since the result can be generally applied into other schemes, the authors evaluate such schemes to examine the soundness of these conditions. Finally, a solution is provided for all tamper detection schemes suffering from the Tattooing Attack.

An Adaptive Curvelet Based Semi-Fragile Watermarking Scheme for Effective and Intelligent Tampering Classification and Recovery of Digital Images

2018 ◽  
Vol 5 (2) ◽  
pp. 69-94
Author(s):  
K R Chetan ◽  
S Nirmala
Keyword(s):  
Digital Images ◽  
Similarity Index ◽  
Curvelet Transform ◽  
Input Image ◽  
Tamper Detection ◽  
Fragile Watermarking ◽  
Feature Similarity ◽  
Feature Similarity Index ◽  
Index Value ◽  
Watermarking Scheme

A novel adaptive semi-fragile watermarking scheme for tamper detection and recovery of digital images is proposed in this paper. This scheme involves embedding of content and chroma watermarks generated from the first level Discrete Curvelet Transform (DCLT) coarse coefficients. Embedding is performed by quantizing the first level coarse DCLT coefficients of the input image and amount of quantization is intelligently decided based on the energy contribution of the coefficients. During watermark extraction, a tampered matrix is generated by comparing the feature similarity index value between each block of extracted and generated watermarks. The tampered objects are subsequently identified and an intelligent report is formed based on their severity classes. The recovery of the tampered objects is performed using the generated DCLT coefficients from luminance and chrominance components of the watermarked image. Results reveal that the proposed method outperforms existing method in terms of tamper detection and recovery of digital images.

Steganographic Techniques of Data Hiding Using Digital Images (Review Paper)

2012 ◽  
Vol 62 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Babloo Saha ◽  
Shuchi Sharma
Keyword(s):  
Data Hiding ◽  
Review Paper ◽  
Digital Images

A FPGA based Steganographic System Implementing a Modern Steganalysis Resistant LSB Algorithm

2017 ◽  
Vol 67 (5) ◽  
pp. 551 ◽  
Author(s):  
Kunjan Pathak ◽  
Manu Bansal
Keyword(s):  
Computational Complexity ◽  
Data Hiding ◽  
Hardware Implementation ◽  
Digital Images ◽  
Spatial Domain ◽  
Secret Message ◽  
Original Algorithm ◽  
Qualitative And Quantitative

<p>Steganography differs from other data hiding techniques because it encodes secret message inside cover object in such a way that transmission of secret message also remains a secret. Widespread usage of digital images, lower computational complexity and better performance makes spatial domain steganographic algorithms well suited for hardware implementation, which are not very frequent. This work tries to implement a modern steganalysis resistant LSB algorithm on FPGA based hardware. The presented work also optimises various operations and elements from original one third probability algorithm with respect to hardware implementation. The target FPGA for the implementation is Xilinx SP605 board (Spartan 6 series XC6SLX45T FPGA). Stego images obtained by the implementation have been thoroughly examined for various qualitative and quantitative aspects, which are found to be at par with original algorithm.</p>

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