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180504 ||| eng |
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|a 9789811077630
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| 100 |
1 |
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|a Quick, Darren
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| 245 |
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0 |
|a Big Digital Forensic Data
|h Elektronische Ressource
|b Volume 1: Data Reduction Framework and Selective Imaging
|c by Darren Quick, Kim-Kwang Raymond Choo
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| 250 |
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|a 1st ed. 2018
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2018, 2018
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| 300 |
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|a XV, 96 p. 6 illus., 5 illus. in color
|b online resource
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| 505 |
0 |
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|a 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.
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| 653 |
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|a Computer Application in Social and Behavioral Sciences
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| 653 |
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|a Social sciences / Data processing
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| 653 |
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|a Application software
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| 653 |
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|a Data protection
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| 653 |
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|a Forensic sciences
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| 653 |
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|a Forensic Science
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| 653 |
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|a Information technology / Law and legislation
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| 653 |
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|a Computer and Information Systems Applications
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| 653 |
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|a Data and Information Security
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| 653 |
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|a Computers / Law and legislation
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| 653 |
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|a Legal Aspects of Computing
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| 700 |
1 |
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|a Choo, Kim-Kwang Raymond
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a SpringerBriefs on Cyber Security Systems and Networks
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| 028 |
5 |
0 |
|a 10.1007/978-981-10-7763-0
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-10-7763-0?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 005.8
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| 520 |
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|a 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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