Big Digital Forensic Data

£43.99

Big Digital Forensic Data

Volume 1: Data Reduction Framework and Selective Imaging

Forensic science Digital and information technologies: Legal aspects Computer security Network security Applied computing Computer applications in the social and behavioural sciences

Authors: Darren Quick, Kim-Kwang Raymond Choo

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Collection: SpringerBriefs on Cyber Security Systems and Networks

Language: English

Published by: Springer

Published on: 24th April 2018

Format: LCP-protected ePub

Size: 1 Mb

ISBN: 9789811077630


Overview

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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