Arabic Feature-Based Text Watermarking Technique for Sensitive Detecting Tampering Attack

作     者：Fahd N.Al-Wesabi Huda G.Iskandar Saleh Alzahrani Abdelzahir Abdelmaboud Mohammed Abdul Nadhem Nemri Mohammad Medani Mohammed Y.Alghamdi 

作者机构：Department of Computer ScienceKing Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and ITSana’a UniversitySana’aYemen School of ComputingFaculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Department of Information SystemsKing Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Computer ScienceFaculty of Science&Arts of BaljurshiAl-Baha UniversityKSA 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第68卷第9期

页      面：3789-3806页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under Grant Number(G.R.P./14/42) Received by Fahd N.Al-Wesabi.www.kku.edu.sa 

主　　题：Watermarking soft computing text analysis hidden Markov model content authentication 

摘      要：In this article,a high-sensitive approach for detecting tampering attacks on transmitted Arabic-text over the Internet(HFDATAI)is proposed by integrating digital watermarking and hidden Markov model as a strategy for soft *** HFDATAI solution technically integrates and senses the watermark without modifying the original *** alphanumeric mechanism order in the first stage focused on the Markov model key secret is incorporated into an automated,null-watermarking approach to enhance the proposed approach’s efficiency,accuracy,and *** first-level order and alphanumeric Markov model technique have been used as a strategy for soft computing to analyze the text of the Arabic *** addition,the features of the interrelationship among text contexts and characteristics of watermark information extraction that is used later validated for detecting any tampering of the Arabic-text *** HFDATAI strategy was introduced based on PHP with included IDE of VS *** of four separate duration datasets in random sites illustrate the fragility,efficacy,and applicability of HFDATAI by using the three common tampering attacks i.e.,insertion,reorder,and *** HFDATAI was found to be effective,applicable,and very sensitive for detecting any possible tampering on Arabic text.