Chapter 1 Introduction.- Chapter 2 Background and Literature Review.- Chapter 3 Data Reduction and Data Mining Framework.- Chapter 4 Digital Forensic Data Reduction by Selective Imaging.- Chapter 5 Summary of the Framework and DRbSI.

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.

The first book on big digital forensic data Presents a framework for Digital Forensic Data Reduction and Quick Analysis to identify key evidence and intelligence within disparate digital forensic data holdings Includes a viable and real-world implementable process that reduces the volume of digital forensic data required for triage, review, analysis, presentation, and archival needs