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Big Digital Forensic Data - Volume 1: Data Reduction Framework and Selective Imaging (Paperback, 1st ed. 2018) Loot Price: R1,656
Discovery Miles 16 560
Repayment Terms: R155 pm x 12*
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Big Digital Forensic Data - Volume 1: Data Reduction Framework and Selective Imaging (Paperback, 1st ed. 2018): Darren Quick,...

Big Digital Forensic Data - Volume 1: Data Reduction Framework and Selective Imaging (Paperback, 1st ed. 2018)

Darren Quick, Kim-Kwang Raymond Choo

Series: SpringerBriefs on Cyber Security Systems and Networks

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Loot Price R1,656 Discovery Miles 16 560 | Repayment Terms: R155 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: SpringerBriefs on Cyber Security Systems and Networks
Release date: April 2018
First published: 2018
Authors: Darren Quick • Kim-Kwang Raymond Choo
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 96
Edition: 1st ed. 2018
ISBN-13: 978-981-10-7762-3
Categories: Books > Social sciences > General
Books > Science & Mathematics > Science: general issues > Forensic science
Books > Computing & IT > Computer communications & networking > Network security
Books > Computing & IT > Social & legal aspects of computing > General
Books > Computing & IT > Applications of computing > Databases > General
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LSN: 981-10-7762-2
Barcode: 9789811077623

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