| Description |
1 online resource (86 pages) : illustrations |
| Series |
Springer briefs on cyber security systems and networks |
|
SpringerBriefs on cyber security systems and networks.
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| Contents |
1. Introduction -- 2. Quick analysis of digital forensic data -- 3. Digital forensic data and intelligence -- 4. Data reduction of mobile device extracts -- 5. Digital forensic data and open source intelligence (DFINT+OSINT) -- 6. Summary |
| 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 digital forensic data analysis for evidence and intelligence. It includes the results of experiments 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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Big data -- Analysis
|
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Digital forensic science.
|
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Computer security.
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Data mining.
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Information retrieval.
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Forensic science.
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Legal aspects of IT.
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Society & social sciences.
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Computer security.
|
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COMPUTERS -- Databases -- Data Mining.
|
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COMPUTERS -- Security -- General.
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Computer security
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Data mining
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Digital forensic science
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| Form |
Electronic book
|
| Author |
Choo, Kim-Kwang Raymond, author
|
| ISBN |
9789811302633 |
|
9811302634 |
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