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  • Big Digital Forensic Data: Volume 2: Quick Analysis for Evidence and Intelligence (SpringerBriefs on Cyber Security Systems and Networks)

Big Digital Forensic Data: Volume 2: Quick Analysis for Evidence and Intelligence (SpringerBriefs on Cyber Security Systems and Networks)

260

Books

Year published
Author(s)
  • Darren Quick
  • Kim-Kwang Raymond Choo
Description
Series: SpringerBriefs on Cyber Security Systems and Networks
Paperback: 100 pages
Publisher: Springer; 1st ed. 2018 edition (June 13, 2018)
Language: English
ISBN-10: 9811302626
ISBN-13: 978-9811302626
Product Dimensions: 6.1 x 0.2 x 9.2 inches
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 digital forensic data analysis for evidence and intelligence. It includes the results of experiments 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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