Software that covertly monitors user actions, also known as spyware, has become a first-level security threat due to its ubiquity and the difficulty of detecting and removing it. This is especially so for video conferencing, thin-client computing and Internet cafes.

CryptoGraphics: Exploiting Graphics Cards for Security explores the potential for implementing ciphers within GPUs, and describes the relevance of GPU-based encryption to the security of applications involving remote displays. As the processing power of GPUs increases, research involving the use of GPUs for general purpose computing has arisen. This work extends such research by considering the use of a GPU 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. A detailed description 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. Unencrypted display data can be confined to the GPU to avoid exposing it to any malware running on the operating system.

Describes unique approach for disabling spyware Explores the use of a Graphics Processing Unit (GPU) as a trusted system component Provides a detailed description and code for a GPU-based implementation of the AES Highly-regarded in this new research area, Debra Cook was an invited speaker at the 2005 RSA Conference, Cryptographers' Track Includes supplementary material: sn.pub/extras

Autorentext

An invited speaker at the 2005 RSA Conference, Cryptographers' Track, Debra Cook is a Ph.D. student in computer science at Columbia University in New York. Her research interests are focused in applied cryptography. She has a B.S. and M.S.E. in mathematical sciences from the Johns Hopkins University and an M.S. in computer science from Columbia. After graduating from Johns Hopkins, she was a senior technical staff member at Bell Labs and AT&T Labs before pursuing her Ph.D. Angelos Keromytis is an Assistant Professor of Computer Science at Columbia University. His research interests include design and analysis of network and cryptographic protocols, software security and reliability, and operating system design. He received his Ph.D. in Computer Science from the University of Pennsylvania, and his B.S. in Computer Science from the University of Crete in Greece.

Inhalt
Graphical Processing Units.- Motivation.- Encryption in GPUs.- Remotely Keyed Cryptographics.- Related Issues.- Extensions.- Conclusions.