  The increasing use of networked sensor systems and networked databases has
led to an increased interest in incorporating encryption directly into sensor
algorithms and database analytics. MATLAB is the dominant tool for rapid
prototyping of sensor algorithms and has extensive database analytics
capabilities. The advent of high level and high performance Galois Field
mathematical environments allows encryption algorithms to be expressed
succinctly and efficiently. This work leverages the Galois Field primitives
found the MATLAB Communication Toolbox to implement a mode of the Advanced
Encrypted Standard (AES) based on first principals mathematics. The resulting
implementation requires 100x less code than standard AES implementations and
delivers speed that is effective for many design purposes. The parallel version
achieves speed comparable to native OpenSSL on a single node and is sufficient
for real-time prototyping of many sensor processing algorithms and database
analytics.
