rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Big Digital Forensic Data
    sub title: Volume 1: Data Reduction Framework and Selective Imaging
  name:
    name part: Quick, Darren.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Choo, Kim-Kwang Raymond.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 96 p. 6 illus., 5 illus. in color. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Darren Quick, Kim-Kwang Raymond Choo.
  subject:
    topic: Computer security
  subject:
    topic: Application software
  subject:
    topic: Forensic science
  subject:
    topic: Computers
  subject:
    topic: Law and legislation
  subject:
    topic: Systems and Data Security
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Forensic Science
  subject:
    topic: Legal Aspects of Computing
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  classification: QA76.9.A25
  classification: 005.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs on Cyber Security Systems and Networks
  identifier: 9789811077630
  identifier: https://doi.org/10.1007/978-981-10-7763-0
  record info:
    record creation date: 180424
    record change date: 20191023111426.0
    record identifier: 978-981-10-7763-0