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: CryptoGraphics
    sub title: Exploiting Graphics Cards for Security
  name:
    name part: Cook, Debra L.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Keromytis, Angelos D.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 140 p. 20 illus. online resource.
  abstract: CryptoGraphics: Exploiting Graphics Cards for Security explores the potential for implementing ciphers within graphics processing units (GPUs), and describes the relevance of GPU-based encryption and decryption to the security of applications involving remote displays. As a result of the increasing processing power of GPUs, research involving the use of GPUs for general purpose computing has arisen. While GPUs do not support the range of operations found in CPUs, their processing power has grown to exceed that of CPUs and their designs are evolving to increase their programmability. GPUs are especially attractive for applications requiring a large quantity of parallel processing. This work extends such research by considering the use of GPUs as a parallel processor for encrypting data. The authors evaluate the operations found in symmetric and asymmetric key ciphers to determine if encryption can be programmed in existing GPUs. While certain operations make it impossible to implement some ciphers in a GPU, the operations used in most block ciphers, including AES, can be performed in GPUs. A detailed description and code for a GPU based implementation of AES is provided. The feasibility of GPU-based encryption allows the authors to explore the use of a GPU as a trusted system component. The motivation for using a GPU as a trusted component, including the applicability to thin-client and remote conferencing applications, is discussed. By enabling encryption and decryption in a GPU, unencrypted display data can be confined to the GPU to avoid exposing it to any malware running on the operating system. A prototype implementation of GPU-based decryption for protecting displays exported to untrusted clients is described. Issues and solutions related to fully securing data on untrusted clients, including the protection of user input, are also discussed. CryptoGraphics: Exploiting Graphics Cards for Security is designed for a professional audience of researchers and practit…
  table of contents: Graphical Processing Units -- Motivation -- Encryption in GPUs -- Remotely Keyed Cryptographics -- Related Issues -- Extensions -- Conclusions.
  note: by Debra L. Cook, Angelos D. Keromytis.
  subject:
    topic: Computer science
  subject:
    topic: Computer organization
  subject:
    topic: Computer communication systems
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Data encryption (Computer science)
  subject:
    topic: Coding theory
  subject:
    topic: Computer Science
  subject:
    topic: Data Encryption
  subject:
    topic: Data Structures, Cryptology and Information Theory
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Computer Systems Organization and Communication Networks
  subject:
    topic: Coding and Information Theory
  subject:
    topic: Data Structures
  classification: QA76.9.A25
  classification: 005.82
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Information Security, 20
  identifier: 9780387341897
  identifier: http://dx.doi.org/10.1007/0-387-34189-7
  record info:
    record creation date: 100301
    record change date: 20151204182441.0
    record identifier: 978-0-387-34189-7