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

• Main Authors: Quick, Darren (Author, http://id.loc.gov/vocabulary/relators/aut), Choo, Kim-Kwang Raymond (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs on Cyber Security Systems and Networks,
• Subjects: Computer security.; Application software.; Forensic science.; Computers.; Law and legislation.; Systems and Data Security.; Information Systems Applications (incl. Internet).; Forensic Science.; Legal Aspects of Computing.; Computer Appl. in Social and Behavioral Sciences.

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...

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.