Big Digital Forensic Data - Volume 2: Quick Analysis for Evidence and Intelligence (Paperback, 1st ed. 2018)

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 digital forensic data analysis for evidence and intelligence. It includes the results of experiments 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:	June 2018
First published:	2018
Authors:	Darren Quick • Kim-Kwang Raymond Choo
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	86
Edition:	1st ed. 2018
ISBN-13:	978-981-13-0262-6
Categories:	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
LSN:	981-13-0262-6
Barcode:	9789811302626

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