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.
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