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020 _a9780387341897
_99780387341897
024 7 _a10.1007/0387341897
_2doi
035 _avtls000331142
039 9 _a201509030712
_bVLOAD
_c201404120610
_dVLOAD
_c201404090351
_dVLOAD
_c201401311404
_dstaff
_y201401301202
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.9.A25
100 1 _aCook, Debra L.
_eautor
_9301333
245 1 0 _aCryptoGraphics :
_bExploiting Graphics Cards for Security /
_cby Debra L. Cook, Angelos D. Keromytis.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _axv, 139 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Information Security,
_x1568-2633 ;
_v20
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aKeromytis, Angelos D.
_eautor
_9299171
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387290157
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-34189-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c278033
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