A zero watermarking approach for content authentication and tampering detection of Arabic text based on fourth level order and word mechanism of Markov model

2020 ◽  
Vol 52 ◽  
pp. 102473
Author(s):  
Fahd N. Al-Wesabi ◽  
Khalid Mahmood ◽  
Nadhem NEMRI
Keyword(s):  
Markov Model ◽  
Arabic Text ◽  
Content Authentication ◽  
Tampering Detection ◽  
Fourth Level ◽  
Zero Watermarking ◽  
Level Order

scholarly journals Tampering Detection Approach of Arabic-Text Based on Contents Interrelationship

2021 ◽  
Vol 27 (2) ◽  
pp. 483-498
Author(s):  
Fahd N. Al-Wesabi ◽  
Abdelzahir Abdelmaboud ◽  
Adnan A. Zain ◽  
Mohammed M. Almazah ◽  
Ammar Zahary
Keyword(s):  
Arabic Text ◽  
Tampering Detection ◽  
Detection Approach

Zero-Watermark Resistant to MP3 Compression

2010 ◽  
Vol 121-122 ◽  
pp. 254-259 ◽  
Author(s):  
Jing Long Zuo ◽  
De Long Cui
Keyword(s):  
Feature Vector ◽  
Coefficient Matrix ◽  
Content Authentication ◽  
Copyright Information ◽  
Watermark Embedding ◽  
Base Matrix ◽  
Zero Watermarking ◽  
Watermarking Scheme ◽  
Non Negative Matrix Factorization ◽  
Mp3 Compression

Most watermarking schemes in literatures are usually implemented by embedding a mark in a host media itself for intended purposes. The existing techniques for watermarking are confronted with the problems of perceptible quality degradation and the inherent conflict between imperceptibility and robustness, which introduced by the watermark embedding. In this paper, we propose a novel audio zero-watermarking scheme for content authentication. First the audio is divided to frame by fixed length and then low-frequent and high-frequent components are obtained by three-level lifting-based wavelet transformation in every frame. Secondly the audio frame is approximately represented as a product of a base matrix and a coefficient matrix using non-negative matrix factorization (NMF). Finally the sum of each column in the coefficient matrix is calculated which is quantized to produce a feature vector, and then the copyright information is obtained by calculating the watermark and feature vector. Experiment results show that the proposed scheme is robust against Mp3 compression and secure.

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