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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 17.81
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Paperback. Condition: new. Paperback. Over 725 steganography tools are available over the Internet, each providing a method for covert transmission of secret messages. This research presents four steganalysis advancements that result in an algorithm that identifies the steganalysis tool used to embed a secret message in a JPEG image file. The algorithm includes feature generation, feature preprocessing, multi-class classification and classifier fusion. The first contribution is a new feature generation method which is based on the decomposition of discrete cosine transform (DCT) coefficients used in the JPEG image encoder. The generated features are better suited to identifying discrepancies in each area of the decomposed DCT coefficients. Second, the classification accuracy is further improved with the development of a feature ranking technique in the preprocessing stage for the kernel Fisher's discriminant (KFD) and support vector machines (SVM) classifiers in the kernel space during the training process. Third, for the KFD and SVM two-class classifiers a classification tree is designed from the kernel space to provide a multi-class classification solution for both methods. Fourth, by analyzing a set of classifiers, signature detectors, and multi-class classification methods a classifier fusion system is developed to increase the detection accuracy of identifying the embedding method used in generating the steganography images.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
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Hardcover. Condition: new. Hardcover. Over 725 steganography tools are available over the Internet, each providing a method for covert transmission of secret messages. This research presents four steganalysis advancements that result in an algorithm that identifies the steganalysis tool used to embed a secret message in a JPEG image file. The algorithm includes feature generation, feature preprocessing, multi-class classification and classifier fusion. The first contribution is a new feature generation method which is based on the decomposition of discrete cosine transform (DCT) coefficients used in the JPEG image encoder. The generated features are better suited to identifying discrepancies in each area of the decomposed DCT coefficients. Second, the classification accuracy is further improved with the development of a feature ranking technique in the preprocessing stage for the kernel Fisher's discriminant (KFD) and support vector machines (SVM) classifiers in the kernel space during the training process. Third, for the KFD and SVM two-class classifiers a classification tree is designed from the kernel space to provide a multi-class classification solution for both methods. Fourth, by analyzing a set of classifiers, signature detectors, and multi-class classification methods a classifier fusion system is developed to increase the detection accuracy of identifying the embedding method used in generating the steganography images.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Published by Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025122763 ISBN 13: 9781025122762
Language: English
£ 24.44
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Add to basketTaschenbuch. Condition: Neu. Neuware - Over 725 steganography tools are available over the Internet, each providing a method for covert transmission of secret messages. This research presents four steganalysis advancements that result in an algorithm that identifies the steganalysis tool used to embed a secret message in a JPEG image file. The algorithm includes feature generation, feature preprocessing, multi-class classification and classifier fusion. The first contribution is a new feature generation method which is based on the decomposition of discrete cosine transform (DCT) coefficients used in the JPEG image encoder. The generated features are better suited to identifying discrepancies in each area of the decomposed DCT coefficients. Second, the classification accuracy is further improved with the development of a feature ranking technique in the preprocessing stage for the kernel Fisher's discriminant (KFD) and support vector machines (SVM) classifiers in the kernel space during the training process. Third, for the KFD and SVM two-class classifiers a classification tree is designed from the kernel space to provide a multi-class classification solution for both methods. Fourth, by analyzing a set of classifiers, signature detectors, and multi-class classification methods a classifier fusion system is developed to increase the detection accuracy of identifying the embedding method used in generating the steganography images.
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Luven Lightfinger's Gear and Treasure Shop
Published by 4 Winds Fantasy Gaming (edition ), 2010
ISBN 10: 0982551029 ISBN 13: 9780982551028
Language: English
£ 33.70
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Add to basketPaperback. Condition: Very Good. Kristen M. Collins; Jason Ammons; Kate Ashwin; Heather Crook; Will Rodriguez; Mathew Winkle (illustrator). It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Published by BiblioScholar 2012-11-19, 2012
ISBN 10: 1288311931 ISBN 13: 9781288311934
Language: English
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Add to basketCondition: Muy bueno. : Este libro ofrece un análisis exhaustivo y sistemático del Derecho Público de Castilla y León, siguiendo la estructura del Estatuto de Autonomía. Con la colaboración de un amplio elenco de autores, la obra profundiza en el ordenamiento jurídico de la región, abordando desde la organización territorial hasta las competencias de las instituciones autonómicas. Un recurso imprescindible para profesionales y estudiosos del derecho público en Castilla y León. EAN: 9788484067740 Tipo: Libros Categoría: Derecho Título: Derecho Público de Castilla y León Autor: Felipe Alonso Murillo| Alfredo Allue Buiza| Coral Arangüena Fanego| Javier Antonio Arce Esteras| Santiago Agustín Bello Paredes| Paloma Biglino Campos| Juan M.ª Bilbao Ubillos| Antonio Calonge Velázquez| M.ª Dolores Calvo Sánchez| Isabel Caro-Patón Carmona| Ana Belén Casares Marcos| Ana M.ª Company Vázquez| M.ª José Corchete Martín| José M.ª de la Cuesta Saenz| Luis Delgado del Rincón| Ana M.ª Díaz de Mera Rodríguez| José Manuel Díaz Lema| Laura Díez Herrero| Juan Fernando Durán Alba| Carlos Fajardo Casajús| Francisco Javier García Roca| Ignacio García Vitoria| Alberto Gómez Barahona| Elías González Posada-Martínez| José Carlos Laguna de Paz| José Carlos Llorente Espeso| Bernard Frank Macera Tiragallo| Araceli Mangas Martín| Manuel Augusto Martín de la Vega| José Luis Martínez López-Muñiz| Edmundo Matía Portilla| Francisco Javier Matía Portilla| M.ª Teresa Medina Arnáiz| Esther Merino Llorente| Isabel M.ª de los Mozos Touya| Carlos Ortega Santiago| Benjamín Peñas Moyano| Elisa Pérez Martín| Tomás Prieto Álvarez| Tomás Quintana López| Ana M.ª Redondo García| Fernando Rey Martínez| Ricardo Rivero Ortega| Enrique Rivero Ysern| Susana Rodríguez Escanciano| M.ª José Salgueiro Cortiñas| Óscar Sánchez Muñoz| Marco Sandulli Saldaña| Íñigo Sanz Rubiales| M.ª Esther Seijas Villadangos| José Ignacio Sobrini Lacruz| Francisco Sosa Wagner| Carlos Vattier Fuenzalida| María del Camino Vidal Fueyo| Helena Villarejo Galende| Marta Villarín Lagos Editorial: Lex Nova Idioma: es-ES Páginas: 1390 Formato: tapa blanda.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Published by BiblioScholar 2012-11, 2012
ISBN 10: 1288311931 ISBN 13: 9781288311934
Language: English
PF. Condition: New.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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MultiClass Classification for Identifying JPEG Steganography Embedding Methods
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Highlights on Practical Applications of Agents and Multi-Agent Systems : 10th International Conference on Practical Applications of Agents and Multi-Agent Systems
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642287611 ISBN 13: 9783642287619
Language: English
£ 29.01
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Paperback / softback. Condition: New. New copy - Usually dispatched within 3 working days. 384.
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Multi-Class Classification for Identifying JPEG Steganography Embedding Methods
Published by Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025119789 ISBN 13: 9781025119786
Language: English
£ 39.83
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Condition: New.
