Big Digital Forensic Data

Volume 1: Data Reduction Framework and Selective Imaging

Nonfiction, Computers, Networking & Communications, Computer Security, Operating Systems, Application Software
Cover of the book Big Digital Forensic Data by Darren Quick, Kim-Kwang Raymond Choo, Springer Singapore
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Author: Darren Quick, Kim-Kwang Raymond Choo ISBN: 9789811077630
Publisher: Springer Singapore Publication: April 24, 2018
Imprint: Springer Language: English
Author: Darren Quick, Kim-Kwang Raymond Choo
ISBN: 9789811077630
Publisher: Springer Singapore
Publication: April 24, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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