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: Forensic analysis of computer memory
  name:
    name part: Messier, Ric
    role:
      role term: presenter.
  name:
    name part: O'Reilly (Firm)
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Internet videos.
  genre: Nonfiction films.
  origin info:
    place:
      place term: xx
    date issued: 2017
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (1 hr., 26 min.)) : sound, color.
  abstract: Our connected world today generates unimaginable volumes of data, and sometimes that information can be the key to helping law enforcement and corporate investigators solve crimes or reveal intrusions by hackers into a network. Memory analysis is important for incident responders and cases for which there is essential evidence that could be lost when a system is powered off. Fortunately, there are a number of tools that we can use to help with memory analysis. In this course, entry- to intermediate-level IT professionals as well as law enforcement personnel can learn to use tools like Volatility and Rekall to acquire memory images from Windows, Linux, and macOS systems and examine them for signs of malware and other abnormalities. You'll see the techniques needed to conduct digital forensic work, such as identifying running processes, and more.
  note: Ric Messier, presenter.
  subject:
    topic: Memory management (Computer science)
  subject:
    topic: Computer security
  subject:
    topic: Hacking
  subject:
    topic: Computer networks
    topic: Security measures
  subject:
    topic: Computer crimes
    topic: Investigation
  subject:
    topic: Computer crimes
    topic: Investigation
  subject:
    topic: Computer networks
    topic: Security measures
  subject:
    topic: Computer security
  subject:
    topic: Hacking
  subject:
    topic: Memory management (Computer science)
  subject:
    topic: Computer Security
  subject:
    topic: Gestion mémoire (Informatique)
  subject:
    topic: Sécurité informatique
  subject:
    topic: Piratage informatique
  subject:
    topic: Réseaux d'ordinateurs
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Criminalité informatique
    topic: Enquêtes
  classification: QA76.9.M45
  classification: 025.04
  identifier: 9781492029144
  identifier: 1492029149
  identifier: 9781492029144 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 221018
    record change date: 20260128180949.6
    record identifier: in00004672585
    language of cataloging:
      language term: eng