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Multipurpose audio watermarking algorithm

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2008年第4期9卷 517-523页

作者： Ning CHEN Jie ZHU Department of Electronic Engineering Shanghai Jiao Tong University Shanghai 200240 China

To make audio watermarking accomplish both copyright protection and content authentication with localization, a novel multipurpose audio watermarking scheme is proposed in this paper. The zero-watermarking idea is introduced into the design of robust watermarking algorithm to ensure the transparency and to avoid the interference between the robust watermark and the semi-fragile watermark. The property of natural audio that the VQ indices of DWT-DCT coefficients among neighboring frames tend to be very similar is utilized to extract essential feature from the host audio, which is then used for watermark ex-traction. And, the chaotic mapping based semi-fragile watermark is embedded in the detail wavelet coefficients based on the instantaneous mixing model of the independent component analysis (ICA) system. Both the robust and semi-fragile watermarks can be extracted blindly and the semi-fragile watermarking algorithm can localize the tampering accurately. Simulation results demonstrate the effectiveness of our algorithm in terms of transparency, security, robustness and tampering localization ability.

关键词： Multipurpose audio watermarking Copyright protection content authentication

A Smart English Text Zero-Watermarking Approach Based on Third-Level Order and Word Mechanism of Markov Model

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Computers, Materials & Continua 2020年第11期65卷 1137-1156页

作者： Fahd N.Al-Wesabi Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen

Text information is principally dependent on the natural ***,improving security and reliability of text information exchanged via internet network has become the most difficult challenge that researchers *** authentication and tampering detection of digital contents have become a major concern in the area of communication and information exchange via the *** this paper,an intelligent text Zero-Watermarking approach SETZWMWMM(Smart English Text Zero-Watermarking Approach Based on Mid-Level Order and Word Mechanism of Markov Model)has been proposed for the content authentication and tampering detection of English text *** SETZWMWMM approach embeds and detects the watermark logically without altering the original English text *** on Hidden Markov Model(HMM),Third level order of word mechanism is used to analyze the interrelationship between contexts of given English *** extracted features are used as a watermark information and integrated with digital zero-watermarking *** detect eventual tampering,SETZWMWMM has been implemented and validated with attacked English *** were performed on four datasets of varying lengths under multiple random locations of insertion,reorder and deletion *** experimental results show that our method is more sensitive and efficient for all kinds of tampering attacks with high level accuracy of tampering detection than compared methods.

关键词： content authentication hidden Markov model zero-watermarking NLP tampering detection.

Smart-Fragile authentication Scheme for Robust Detecting of Tampering Attacks on English Text

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Computers, Materials & Continua 2022年第5期71卷 2497-2513页

作者： Mohammad Alamgeer Fahd N.Al-Wesabi Huda G.Iskandar Imran Khan Nadhem Nemri Mohammad Medani Mohammed Abdullah Al-Hagery Ali Mohammed Al-Sharafi Department of Information Systems King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaKSA

content authentication,integrity verification,and tampering detection of digital content exchanged via the internet have been used to address a major concern in information and communication *** this paper,a text zero-watermarking approach known as Smart-Fragile Approach based on Soft Computing and Digital Watermarking(SFASCDW)is proposed for content authentication and tampering detection of English text.A first-level order of alphanumeric mechanism,based on hidden Markov model,is integrated with digital zero-watermarking techniques to improve the watermark robustness of the proposed *** researcher uses the first-level order and alphanumeric mechanism of Markov model as a soft computing technique to analyze English ***,he extracts the features of the interrelationship among the contexts of the text,utilizes the extracted features as watermark information,and validates it later with the studied English text to detect any *** has been implemented using PHP with VS code *** robustness,effectiveness,and applicability of SFASCDW are proved with experiments involving four datasets of various lengths in random locations using the three common attacks,namely insertion,reorder,and *** SFASCDW was found to be effective and could be applicable in detecting any possible tampering.

关键词： Watermarking soft computing text analysis hidden Markov model content authentication

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

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Computers, Materials & Continua 2021年第9期68卷 3789-3806页

作者： Fahd N.Al-Wesabi Huda G.Iskandar Saleh Alzahrani Abdelzahir Abdelmaboud Mohammed Abdul Nadhem Nemri Mohammad Medani Mohammed Y.Alghamdi Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Department of Information Systems King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Computer Science Faculty of Science&Arts of BaljurshiAl-Baha UniversityKSA

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.

关键词： Watermarking soft computing text analysis hidden Markov model content authentication

An Optimized English Text Watermarking Method Based on Natural Language Processing Techniques

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Computers, Materials & Continua 2021年第11期69卷 1519-1536页

作者： Fahd N.Al-Wesabi Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen

In this paper,the text analysis-based approach RTADZWA(Reliable Text Analysis and Digital Zero-Watermarking Approach)has been proposed for transferring and receiving authentic English text via the *** level order of alphanumeric mechanism of hidden Markov model has been used in RTADZWA approach as a natural language processing to analyze the English text and extracts the features of the interrelationship between contexts of the text and utilizes the extracted features as watermark information and then validates it later with attacked English text to detect any tampering occurred on *** analysis and text zero-watermarking techniques have been integrated by RTADZWA approach to improving the performance,accuracy,capacity,and robustness issues of the previous literature proposed by the *** RTADZWA approach embeds and detects the watermark logically without altering the original text document to embed a *** has been implemented using PHP with VS code *** experimental and simulation results using standard datasets of varying lengths show that the proposed approach can obtain high robustness and better detection accuracy of tampering common random insertion,reorder,and deletion attacks,e.g.,Comparison results with baseline approaches also show the advantages of the proposed approach.

关键词： Text analysis NLP hidden markov model zero-watermarking content authentication tampering detection

Text Analysis-Based Watermarking Approach for Tampering Detection of English Text

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Computers, Materials & Continua 2021年第6期67卷 3701-3719页

作者： Fahd N.Al-Wesabi Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen

Due to the rapid increase in the exchange of text information via internet networks,the security and the reliability of digital content have become a major research *** main challenges faced by researchers are authentication,integrity verication,and tampering detection of the digital *** this paper,text zero-watermarking and text feature-based approach is proposed to improve the tampering detection accuracy of English text *** proposed approach embeds and detects the watermark logically without altering the original English text *** on hidden Markov model(HMM),the fourth level order of the word mechanism is used to analyze the contents of the given English text to nd the interrelationship between the *** extracted features are used as watermark information and integrated with digital zero-watermarking *** detect eventual tampering,the proposed approach has been implemented and validated with attacked English *** were performed using four standard datasets of varying lengths under multiple random locations of insertion,reorder,and deletion *** experimental and simulation results prove the tampering detection accuracy of our method against all kinds of tampering *** results show that our proposed approach outperforms all the other baseline approaches in terms of tampering detection accuracy.

关键词： Text analysis English language processing hidden Markov model zero-watermarking content authentication tampering detection

A multipurpose audio watermarking algorithm with synchronization and encryption

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Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第1期13卷 11-19页

作者： Baiying LEI Ing Yann SOON School of Electrical and Electronic Engineering Nanyang Technological University

We propose a new multipurpose audio watermarking scheme in which two complementary watermarks are used. For audio copyright protection, the watermark data with copyright information or signature are first encrypted by Arnold transforma- tion. Then the watermark data are inserted in the low frequency largest significant discrete cosine transform （DCT） coefficients to obtain robustness performance. For audio authentication, a chaotic signal is inserted in the high frequency insignificant DCT coefficients to detect tampered regions. Furthermore, the synchronization code is embedded in the audio statistical characteristics to resist desynchronization attacks. Experimental results show that our proposed method can not only obtain satisfactory detection and tampered location, but also achieve imperceptibility and robustness to common signal processing attacks, such as cropping, shifting, and time scale modification （TSM）. Comparison results show that our method outperforms some existing methods.

关键词： Audio watermarking Copyright protection content authentication Compound encryption Synchronization

FMHADP:Design of an Efficient Pre-Forensic Layer for Mitigating Hybrid Attacks via Deep Learning Pattern Analysis

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Journal of Harbin Institute of Technology(New Series) 2024年第5期31卷 55-67页

作者： Meesala Sravani B Kiran Kumar M Rekha Sundari D Tejaswi Department of Computer Science and Engineering GMR Institute of TechnologyRajam 532127Andhra PradeshIndia Information Technology Anil Neerukonda Institute of Technology&Science(Autonomous)Sangivalasa 531162BheemunipatnamIndia

Network attack detection and mitigation require packet collection,pre-processing,feature analysis,classification,and *** for these tasks sometimes become complex or inefficient when applied to real-time data *** mitigate hybrid assaults,this study designs an efficient forensic layer employing deep learning pattern analysis and multidomain feature *** this paper,we provide a novel multidomain feature extraction method using Fourier,Z,Laplace,Discrete Cosine Transform(DCT),1D Haar Wavelet,Gabor,and Convolutional *** method dragon fly optimisation reduces feature dimensionality and improves feature selection *** selected features are fed into VGGNet and GoogLeNet models using binary cascaded neural networks to analyse network traffic patterns,detect anomalies,and warn network *** suggested model tackles the inadequacies of existing approaches to hybrid threats,which are growing more common and challenge conventional security *** model integrates multidomain feature extraction,deep learning pattern analysis,and the forensic layer to improve intrusion detection and prevention *** diverse attack scenarios,our technique has 3.5% higher accuracy,4.3% higher precision,8.5% higher recall,and 2.9% lower delay than previous models.

关键词： digital replay attack perceptual hashing content authentication content identification Differential Luminance Block Means(DLBM) normalization shifts

Digital Text Document Watermarking Based Tampering Attack Detection via Internet

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Computer Systems Science & Engineering 2024年第3期48卷 759-771页

作者： Manal Abdullah Alohali Muna Elsadig Fahd N.Al-Wesabi Mesfer Al Duhayyim Anwer Mustafa Hilal Abdelwahed Motwakel Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityAbha62217Saudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversityAl-Aflaj16733Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Owing to the rapid increase in the interchange of text information through internet networks,the reliability and security of digital content are becoming a major research *** detection,content authentication,and integrity verification of digital content interchanged through the Internet were utilized to solve a major concern in information and communication *** authors’difficulties were tampering detection,authentication,and integrity verification of the digital *** study develops an Automated Data Mining based Digital Text Document Watermarking for Tampering Attack Detection(ADMDTW-TAD)via the *** DM concept is exploited in the presented ADMDTW-TAD technique to identify the document’s appropriate characteristics to embed larger watermark *** presented secure watermarking scheme intends to transmit digital text documents over the Internet *** the watermark is embedded with no damage to the original document,it is then shared with the *** watermark extraction process is performed to get the original document *** experimental validation of the ADMDTW-TAD technique is carried out under varying levels of attack volumes,and the outcomes were inspected in terms of different *** simulation values indicated that the ADMDTW-TAD technique improved performance over other models.

关键词： content authentication tampering attacks detection model security digital watermarking