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Big Digital Forensic Data = Volume 2...
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Big Digital Forensic Data = Volume 2: Quick Analysis for Evidence and Intelligence /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Big Digital Forensic Data/ by Darren Quick, Kim-Kwang Raymond Choo.
Reminder of title:
Volume 2: Quick Analysis for Evidence and Intelligence /
Author:
Quick, Darren.
other author:
Choo, Kim-Kwang Raymond.
Description:
XIII, 86 p. 11 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computer security. -
Online resource:
https://doi.org/10.1007/978-981-13-0263-3
ISBN:
9789811302633
Big Digital Forensic Data = Volume 2: Quick Analysis for Evidence and Intelligence /
Quick, Darren.
Big Digital Forensic Data
Volume 2: Quick Analysis for Evidence and Intelligence /[electronic resource] :by Darren Quick, Kim-Kwang Raymond Choo. - 1st ed. 2018. - XIII, 86 p. 11 illus. in color.online resource. - SpringerBriefs on Cyber Security Systems and Networks,2522-5561. - SpringerBriefs on Cyber Security Systems and Networks,.
Chapter 1 Introduction -- Chapter 2 Quick Analysis of Digital Forensic Data -- Chapter 3 Digital Forensic Data and Intelligence -- Chapter 4 Data Reduction of Mobile Device Extracts -- Chapter 5 Digital Forensic Data and Open Source Intelligence (DFINT+OSINT) -- Chapter 6 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.
ISBN: 9789811302633
Standard No.: 10.1007/978-981-13-0263-3doiSubjects--Topical Terms:
557122
Computer security.
LC Class. No.: QA76.9.A25
Dewey Class. No.: 005.8
Big Digital Forensic Data = Volume 2: Quick Analysis for Evidence and Intelligence /
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Chapter 1 Introduction -- Chapter 2 Quick Analysis of Digital Forensic Data -- Chapter 3 Digital Forensic Data and Intelligence -- Chapter 4 Data Reduction of Mobile Device Extracts -- Chapter 5 Digital Forensic Data and Open Source Intelligence (DFINT+OSINT) -- Chapter 6 Summary.
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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.
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