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Big Digital Forensic Data Volume 1: Data Reduction Framework and Selective Imaging

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 minin...

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Bibliographic Details
Main Authors:	Quick, Darren, Choo, Kim-Kwang Raymond (Author)
Format:	eBook
Language:	English
Published:	Singapore Springer Nature Singapore 2018, 2018
Edition:	1st ed. 2018
Series:	SpringerBriefs on Cyber Security Systems and Networks
Subjects:	Computer Application In Social And Behavioral Sciences Social Sciences / Data Processing Application Software Data Protection Forensic Sciences Forensic Science Information Technology / Law And Legislation Computer And Information Systems Applications Data And Information Security Computers / Law And Legislation Legal Aspects Of Computing
Online Access:	https://doi.org/10.1007/978-981-10-7763-0?nosfx=y
Collection:	Springer eBooks 2005- - Collection details see MPG.ReNa

Table of Contents:

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.

Big Digital Forensic Data Volume 1: Data Reduction Framework and Selective Imaging

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