Big Digital Forensic Data [electronic resource] : Volume 1: Data Reduction Framework and Selective Imaging

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Tác giả: Kim-Kwang Raymond Choo, Darren Quick

Ngôn ngữ:

ISBN-13: 978-9811077630

Ký hiệu phân loại: 005.8 Data security

Thông tin xuất bản: Singapore : Springer Nature Singapore : Imprint: Springer, 2018.

Mô tả vật lý: XV, 96 p. 6 illus., 5 illus. in color. , online resource.

Bộ sưu tập: Tài liệu truy cập mở

ID: 329953

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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