Hidden Bibliographic Details
| Varying Form of Title: | Data reduction framework and selective imaging
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| Other authors / contributors: | Choo, Kim-Kwang Raymond, author.
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| ISBN: | 9789811077630
9811077630
9811077622
9789811077623
9789811077623
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| Digital file characteristics: | text file PDF
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| Notes: | Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed May 1, 2018).
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| Summary: | 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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| Other form: | Printed edition: 9789811077623
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| Standard no.: | 10.1007/978-981-10-7763-0
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