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Book synopsis

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 analysis and studies a series of intelligence extraction methods. Further, it includes the experimental results on the 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.

Book details

Book category Books in English Society & social sciences Social services & welfare, criminology Crime & criminology

• Full title: Big Digital Forensic Data
• Subtitle: Volume 1: Data Reduction Framework and Selective Imaging
• Author: Darren Quick, Kim-Kwang Raymond Choo
• Language: English
• Binding: Paperback
• Number of pages: 96
• EAN: 9789811077623
• ISBN: 9811077622
• ID: 18647804
• Publisher: Springer Verlag, Singapore
• Weight: 1825 g
• Dimensions: 235 × 155 × 8 mm
• Date of publishing: 07. May 2018

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