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Big Digital Forensic Data : Volume 1: Data Reduction Framework and Selective Imaging / by Darren Quick, Kim-Kwang Raymond Choo.
- Format:
- Book
- Author/Creator:
- Quick, Darren, author.
- Choo, Kim-Kwang Raymond, author.
- Series:
- Computer Science (Springer-11645)
- SpringerBriefs on cyber security systems and networks 2522-5561
- SpringerBriefs on Cyber Security Systems and Networks, 2522-5561
- Language:
- English
- Subjects (All):
- Computer security.
- Application software.
- Forensic sciences.
- Computers.
- Law and legislation.
- Systems and Data Security.
- Information Systems Applications (incl. Internet).
- Forensic Science.
- Legal Aspects of Computing.
- Computer Appl. in Social and Behavioral Sciences.
- Local Subjects:
- Systems and Data Security.
- Information Systems Applications (incl. Internet).
- Forensic Science.
- Legal Aspects of Computing.
- Computer Appl. in Social and Behavioral Sciences.
- Physical Description:
- 1 online resource (XV, 96 pages) : 6 illustrations, 5 illustrations in color.
- Edition:
- First edition 2018.
- Contained In:
- Springer eBooks
- Place of Publication:
- Singapore : Springer Singapore : Imprint: Springer, 2018.
- System Details:
- text file PDF
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-10-7763-0
- 9789811077630
- 9789811077623
- 9789811077647
- Access Restriction:
- Restricted for use by site license.
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