000 04196nam a22005535i 4500
001 978-0-387-34189-7
003 DE-He213
005 20161121230519.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 _a9780387341897
_9978-0-387-34189-7
024 7 _a10.1007/0-387-34189-7
_2doi
050 4 _aQA76.9.A25
072 7 _aURY
_2bicssc
072 7 _aCOM053000
_2bisacsh
082 0 4 _a005.82
_223
100 1 _aCook, Debra L.
_eauthor.
245 1 0 _aCryptoGraphics
_h[electronic resource] :
_bExploiting Graphics Cards for Security /
_cby Debra L. Cook, Angelos D. Keromytis.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _aXVI, 140 p. 20 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Information Security,
_x1568-2633 ;
_v20
505 0 _aGraphical Processing Units -- Motivation -- Encryption in GPUs -- Remotely Keyed Cryptographics -- Related Issues -- Extensions -- Conclusions.
520 _aCryptoGraphics: 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 practitioners in industry. This book is also suitable as a secondary text for advanced-level students in computer science.
650 0 _aComputer science.
650 0 _aComputer organization.
650 0 _aComputer communication systems.
650 0 _aData structures (Computer science).
650 0 _aData encryption (Computer science).
650 0 _aCoding theory.
650 1 4 _aComputer Science.
650 2 4 _aData Encryption.
650 2 4 _aData Structures, Cryptology and Information Theory.
650 2 4 _aComputer Communication Networks.
650 2 4 _aComputer Systems Organization and Communication Networks.
650 2 4 _aCoding and Information Theory.
650 2 4 _aData Structures.
700 1 _aKeromytis, Angelos D.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387290157
830 0 _aAdvances in Information Security,
_x1568-2633 ;
_v20
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-34189-7
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c499902
_d499902