Big digital forensic data. Volume 1, Data reduction framework and selective imaging / Darren Quick, Kim-Kwang Raymond Choo.

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Big digital forensic data. Volume 1, Data reduction framework and selective imaging / Darren Quick, Kim-Kwang Raymond Choo.

9789811077630 (electronic book)
9811077630 (electronic book)
9789811077623

Singapore : Springer, 2018.

English

1 online resource.

10.1007/978-981-10-7763-0 doi

HV8079.C65

364.16/8

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.

Includes bibliographical references.

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text file PDF

Online resource; title from PDF title page (SpringerLink, viewed May 1, 2018).

SpringerBriefs on cyber security systems and networks.

Print version: 9789811077623

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