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Big digital forensic data.. Volume 1,. Data reduction framework and selective imaging

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big digital forensic data./ by Darren Quick, Kim-Kwang Raymond Choo.
其他題名:	Data reduction framework and selective imaging
作者:	Quick, Darren.
其他作者:	Choo, Kim-Kwang Raymond.
出版者:	Singapore :Springer Singapore : : 2018.,
面頁冊數:	xv, 96 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Computer crimes - Investigation. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-7763-0
ISBN:	9789811077630

Big digital forensic data.. Volume 1,. Data reduction framework and selective imaging
Quick, Darren.

Big digital forensic data.Volume 1,Data reduction framework and selective imaging[electronic resource] /Data reduction framework and selective imagingby Darren Quick, Kim-Kwang Raymond Choo. - Singapore :Springer Singapore :2018. - xv, 96 p. :ill., digital ;24 cm. - SpringerBriefs on cyber security systems and networks,2522-5561. - SpringerBriefs on cyber security systems and networks..

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.

ISBN: 9789811077630

Standard No.: 10.1007/978-981-10-7763-0doiSubjects--Topical Terms:

563858
Computer crimes
--Investigation.

LC Class. No.: HV8079.C65

Dewey Class. No.: 364.168

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