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Big digital forensic data.. Volume 1...

Quick, Darren.

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Big digital forensic data.. Volume 1,. Data reduction framework and selective imaging

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big digital forensic data./ by Darren Quick, Kim-Kwang Raymond Choo.
remainder title:	Data reduction framework and selective imaging
Author:	Quick, Darren.
other author:	Choo, Kim-Kwang Raymond.
Published:	Singapore :Springer Singapore : : 2018.,
Description:	xv, 96 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1 Introduction -- Chapter 2 Background and Literature Review -- Chapter 3 Data Reduction and Data Mining Framework -- Chapter 4 Digital Forensic Data Reduction by Selective Imaging -- Chapter 5 Summary of the Framework and DRbSI.
Contained By:	Springer eBooks
Subject:	Computer crimes - Investigation. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-7763-0
ISBN:	9789811077630

Big digital forensic data.. Volume 1,. Data reduction framework and selective imaging
Quick, Darren.

Big digital forensic data.Volume 1,Data reduction framework and selective imaging[electronic resource] /Data reduction framework and selective imagingby Darren Quick, Kim-Kwang Raymond Choo. - Singapore :Springer Singapore :2018. - xv, 96 p. :ill., digital ;24 cm. - SpringerBriefs on cyber security systems and networks,2522-5561. - SpringerBriefs on cyber security systems and networks..

Chapter 1 Introduction -- Chapter 2 Background and Literature Review -- Chapter 3 Data Reduction and Data Mining Framework -- Chapter 4 Digital Forensic Data Reduction by Selective Imaging -- Chapter 5 Summary of the Framework and DRbSI.

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.

ISBN: 9789811077630

Standard No.: 10.1007/978-981-10-7763-0doiSubjects--Topical Terms:

622656
Computer crimes
--Investigation.

LC Class. No.: HV8079.C65

Dewey Class. No.: 364.168

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505 0 $a Chapter 1 Introduction -- Chapter 2 Background and Literature Review -- Chapter 3 Data Reduction and Data Mining Framework -- Chapter 4 Digital Forensic Data Reduction by Selective Imaging -- Chapter 5 Summary of the Framework and DRbSI.
520 $a 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.
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