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Big Digital Forensic Data: Volume 1: Data Reduction Framework and Selective Imaging, Quick Darren, Choo Kim-Kwang Raymond


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Цена: 6986.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Quick Darren, Choo Kim-Kwang Raymond
Название:  Big Digital Forensic Data: Volume 1: Data Reduction Framework and Selective Imaging
ISBN: 9789811077623
Издательство: Springer
Классификация:




ISBN-10: 9811077622
Обложка/Формат: Paperback
Страницы: 96
Вес: 0.17 кг.
Дата издания: 18.06.2018
Серия: Springerbriefs on cyber security systems and networks
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 16 tables, color; 13 illustrations, color; 2 illustrations, black and white; xi, 140 p. 15 illus., 13 illus. in color.
Размер: 234 x 156 x 6
Читательская аудитория: General (us: trade)
Подзаголовок: Volume 1: data reduction framework and selective imaging
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:

This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining principles to achieve faster analysis in digital forensic investigations. By collecting and assembling a corpus of test data from a range of devices in the real world, it outlines a process of big data reduction, and evidence and intelligence extraction methods. Further, it includes the experimental results on vast volumes of real digital forensic data. The book is a valuable resource for digital forensic practitioners, researchers in big data, cyber threat hunting and intelligence, data mining and other related areas.




Forensic Digital Imaging Processing

Автор: Dalrymple, Brian
Название: Forensic Digital Imaging Processing
ISBN: 1498743439 ISBN-13(EAN): 9781498743433
Издательство: Taylor&Francis
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Цена: 17762.00 р. 22202.00 -20%
Наличие на складе: Есть (1 шт.)
Описание: The digital revolution over the past several decades has advanced every facet of evidence detection, photography, optimization, and interpretation. Forensic scientists and practitioners have benefited tremendously from the move from film to digital. With proper procedures in place, digital images and casework capabilities have increased tremendously in both complexity and range due to a vast array of tools to enhance evidence and photography. Forensic Digital Image Processing: Optimization of Impression Evidence provides the forensic investigator with the tools and understanding to extract, optimize, and interpret the maximum evidence possible from crime scenes to increase identifications. The book begins by examining the emergence of forensic digital image processing, and the gradual improvement and acceptance of the science over the past four decades. Coverage includes looking at the issues of image integrity and authentication including forensic image optimization and the manipulation of images.? Chapters explore techniques exploiting color theory, modes, and channels to optimize signal-to-noise ratio in images. One of the greatest assets of digital image technology is the ability to combine multiple images of the same subject to create a final, blended image: one that displays the desired evidence and is especially useful for fingerprint or footwear impression. Later chapters demonstrate image subtraction, focus stacking, and high dynamic range, utilizing images in optimum focus and with substrate interference diminished or removed entirely. The authors look at fast Fourier transform as an optimal tool for noise removal, addressing basic theory and diagnosis of the noise signatures. The book discusses the history of digital imaging techniques and their treatment within the court system. Forensic Digital Image Processing: Optimization of Impression Evidence serves as an invaluable resource and tool for practicing professionals–as well as those new to the field—to look at best practices, the latest technology, and advances in utilizing the increasing array of tools of the trade.

Big Digital Forensic Data

Автор: Quick
Название: Big Digital Forensic Data
ISBN: 9811302626 ISBN-13(EAN): 9789811302626
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data.


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