Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/826
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dc.contributor.authorQuick, Darren. ;en_US
dc.contributor.authorChoo, Kim-Kwang Raymond. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:29Z-
dc.date.available2020-05-17T08:22:29Z-
dc.date.issued2018en_US
dc.identifier.isbn9789811077630 ;en_US
dc.identifier.isbn9789811077623 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/826-
dc.description005.8 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA76.9.A25 ;en_US
dc.descriptionPrinted edition: ; 9789811077623. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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. ;en_US
dc.description.statementofresponsibilityby Darren Quick, Kim-Kwang Raymond Choo.en_US
dc.description.tableofcontentsChapter 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. ;en_US
dc.format.extentXV, 96 p. 6 illus., 5 illus. in color. ; online resource. ;en_US
dc.publisherSpringer Singapore :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs on Cyber Security Systems and Networks, ; 2522-5561. ;en_US
dc.relation.ispartofseriesSpringerBriefs on Cyber Security Systems and Networks, ; 2522-5561. ;en_US
dc.relation.haspart9789811077630.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectForensic science. ;en_US
dc.subjectComputer Securityen_US
dc.subjectApplication Softwareen_US
dc.subjectComputersen_US
dc.subjectLaw and legislation. ;en_US
dc.subjectComputer Scienceen_US
dc.subjectSystems and Data Securityen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectForensic Science. ;en_US
dc.subjectLegal Aspects of Computing. ;en_US
dc.subjectComputer Appl. in Social and Behavioral Sciences. ;en_US
dc.titleBig Digital Forensic Dataen_US
dc.title.alternativeVolume 1: Data Reduction Framework and Selective Imaging /en_US
dc.typeBooken_US
dc.publisher.placeSingapore :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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9789811077630.pdf3.77 MBAdobe PDFThumbnail
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Full metadata record
DC FieldValueLanguage
dc.contributor.authorQuick, Darren. ;en_US
dc.contributor.authorChoo, Kim-Kwang Raymond. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:29Z-
dc.date.available2020-05-17T08:22:29Z-
dc.date.issued2018en_US
dc.identifier.isbn9789811077630 ;en_US
dc.identifier.isbn9789811077623 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/826-
dc.description005.8 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA76.9.A25 ;en_US
dc.descriptionPrinted edition: ; 9789811077623. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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. ;en_US
dc.description.statementofresponsibilityby Darren Quick, Kim-Kwang Raymond Choo.en_US
dc.description.tableofcontentsChapter 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. ;en_US
dc.format.extentXV, 96 p. 6 illus., 5 illus. in color. ; online resource. ;en_US
dc.publisherSpringer Singapore :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs on Cyber Security Systems and Networks, ; 2522-5561. ;en_US
dc.relation.ispartofseriesSpringerBriefs on Cyber Security Systems and Networks, ; 2522-5561. ;en_US
dc.relation.haspart9789811077630.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectForensic science. ;en_US
dc.subjectComputer Securityen_US
dc.subjectApplication Softwareen_US
dc.subjectComputersen_US
dc.subjectLaw and legislation. ;en_US
dc.subjectComputer Scienceen_US
dc.subjectSystems and Data Securityen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectForensic Science. ;en_US
dc.subjectLegal Aspects of Computing. ;en_US
dc.subjectComputer Appl. in Social and Behavioral Sciences. ;en_US
dc.titleBig Digital Forensic Dataen_US
dc.title.alternativeVolume 1: Data Reduction Framework and Selective Imaging /en_US
dc.typeBooken_US
dc.publisher.placeSingapore :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9789811077630.pdf3.77 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorQuick, Darren. ;en_US
dc.contributor.authorChoo, Kim-Kwang Raymond. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:29Z-
dc.date.available2020-05-17T08:22:29Z-
dc.date.issued2018en_US
dc.identifier.isbn9789811077630 ;en_US
dc.identifier.isbn9789811077623 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/826-
dc.description005.8 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA76.9.A25 ;en_US
dc.descriptionPrinted edition: ; 9789811077623. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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. ;en_US
dc.description.statementofresponsibilityby Darren Quick, Kim-Kwang Raymond Choo.en_US
dc.description.tableofcontentsChapter 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. ;en_US
dc.format.extentXV, 96 p. 6 illus., 5 illus. in color. ; online resource. ;en_US
dc.publisherSpringer Singapore :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs on Cyber Security Systems and Networks, ; 2522-5561. ;en_US
dc.relation.ispartofseriesSpringerBriefs on Cyber Security Systems and Networks, ; 2522-5561. ;en_US
dc.relation.haspart9789811077630.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectForensic science. ;en_US
dc.subjectComputer Securityen_US
dc.subjectApplication Softwareen_US
dc.subjectComputersen_US
dc.subjectLaw and legislation. ;en_US
dc.subjectComputer Scienceen_US
dc.subjectSystems and Data Securityen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectForensic Science. ;en_US
dc.subjectLegal Aspects of Computing. ;en_US
dc.subjectComputer Appl. in Social and Behavioral Sciences. ;en_US
dc.titleBig Digital Forensic Dataen_US
dc.title.alternativeVolume 1: Data Reduction Framework and Selective Imaging /en_US
dc.typeBooken_US
dc.publisher.placeSingapore :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9789811077630.pdf3.77 MBAdobe PDFThumbnail
Preview File